ML Remote Jobs

288 Results

+30d

VP/Director Data Science -Supply Chain

Blend36Calgary, Canada, Remote
MLscalasqlazurepythonAWS

Blend36 is hiring a Remote VP/Director Data Science -Supply Chain

Job Description

At Blend360 we want to ensure that our clients have access to the data, insights, and innovations required to deliver against their Supply Chain Strategy. We are seeking a VP of Data Scientist, who can help advance the field within the Supply Chain Organization and deliver meaningful solutions that strive to solve our clients biggest challenges.

Accountabilities:

As a Supply Chain Data Scientist, you will build domain-specific knowledge regarding supply chain working closely with stakeholders to understand key business problems and bring Data Science solutions to resolve. You will also advance the development of  capability for Data Science within supply chain, including Artificial Intelligence (AI), and Machine Learning (ML). Your role will be pivotal in driving awareness of the value Data Science offers our clients with regard to global supply chain.

Summary with focus on communication: Data Scientists at Blend360 work with business leaders to solve our clients’ business challenges. Here at Blend360 we work with clients in marketing, revenue management, customer service, inventory management and many other aspects of modern business. Our Lead Data Scientists have the business acumen to apply Data Scientists to many different business models and situations.

We expect the Data Science Managers to be excellent communicators with the ability to describe complex concepts clearly and concisely. They should be able to work independently in gathering requirements, developing roadmaps, and delivering results.

Teamwork and Leadership: We work as a team and Data Science Managers lead both by mentoring or managing Data Scientists as well as leading by example.

Technical know-how: Our Data Scientists have a broad knowledge of a variety of data and mathematical solutions. Our work includes statistical analyses, predictive modeling, machine learning, and experimental design. We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. We validate and cross-validate our recommendations to make sure our recommendations will perform well over time.

Conclusion: If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at Blend360.

Responsibilities

  • Advance the development of l capability for Data Science within supply chain.
  • Build domain specific knowledge regarding supply chain.
  • Ability to provide ethical and positive leadership that motivates direct reports and develops their talent and skillset while achieving results.
  • Directly manage analyst project work and overall performance, including effective career planning; have difficult conversations and deliver constructive feedback with support from senior management.
  • Interview, hire and train new employees.
  • Analyze team KPIs, develop solutions and alternative methods to achieve goals.
  • Build positive and productive relationships with clients for business growth.
  • Understand client needs and customize existing business processes to meet client needs.
  • Promptly address client concerns and professionally manage requests.
  • Work as a strategic partner with leadership teams to support client needs.
  • Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints
  • Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons
  • Work with practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps
  • Develop a project plan including milestones, dates, owners, and risks and contingency plans
  • Create and maintain efficient data pipelines, often within clients’ architecture. Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies
  • Assemble large, complex data sets from client and external sources that meet functional business requirements.
  • Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform. Be able to summarize and describe data and data issues
  • Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
  • Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools
  • Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
  • Assist client to deploy models and algorithms within their own architecture

Qualifications

  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field
  • At least 5+ years Professional experience in Advanced Supply Chain Data Science 
  • Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS) 
  • Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches
  • Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive
  • Experience with spark and data-frames in PySpark or Scala
  • Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing.
  • Comfortable with cloud-based platforms (AWS, Azure, Google)
  • Experience with Google Analytics, Adobe Analytics, Optimizely a plus

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+30d

VP/Director, Data Science - Supply Chain

Blend36Toronto, Canada, Remote
MLscalasqlazurepythonAWS

Blend36 is hiring a Remote VP/Director, Data Science - Supply Chain

Job Description

At Blend360 we want to ensure that our clients have access to the data, insights, and innovations required to deliver against their Supply Chain Strategy. We are seeking a VP of Data Scientist, who can help advance the field within the Supply Chain Organization and deliver meaningful solutions that strive to solve our clients biggest challenges.

Accountabilities:

As a Supply Chain Data Scientist, you will build domain-specific knowledge regarding supply chain working closely with stakeholders to understand key business problems and bring Data Science solutions to resolve. You will also advance the development of  capability for Data Science within supply chain, including Artificial Intelligence (AI), and Machine Learning (ML). Your role will be pivotal in driving awareness of the value Data Science offers our clients with regard to global supply chain.

Summary with focus on communication: Data Scientists at Blend360 work with business leaders to solve our clients’ business challenges. Here at Blend360 we work with clients in marketing, revenue management, customer service, inventory management and many other aspects of modern business. Our Lead Data Scientists have the business acumen to apply Data Scientists to many different business models and situations.

We expect the Data Science Managers to be excellent communicators with the ability to describe complex concepts clearly and concisely. They should be able to work independently in gathering requirements, developing roadmaps, and delivering results.

Teamwork and Leadership: We work as a team and Data Science Managers lead both by mentoring or managing Data Scientists as well as leading by example.

Technical know-how: Our Data Scientists have a broad knowledge of a variety of data and mathematical solutions. Our work includes statistical analyses, predictive modeling, machine learning, and experimental design. We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. We validate and cross-validate our recommendations to make sure our recommendations will perform well over time.

Conclusion: If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at Blend360.

Responsibilities

  • Advance the development of l capability for Data Science within supply chain.
  • Build domain specific knowledge regarding supply chain.
  • Ability to provide ethical and positive leadership that motivates direct reports and develops their talent and skillset while achieving results.
  • Directly manage analyst project work and overall performance, including effective career planning; have difficult conversations and deliver constructive feedback with support from senior management.
  • Interview, hire and train new employees.
  • Analyze team KPIs, develop solutions and alternative methods to achieve goals.
  • Build positive and productive relationships with clients for business growth.
  • Understand client needs and customize existing business processes to meet client needs.
  • Promptly address client concerns and professionally manage requests.
  • Work as a strategic partner with leadership teams to support client needs.
  • Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints
  • Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons
  • Work with practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps
  • Develop a project plan including milestones, dates, owners, and risks and contingency plans
  • Create and maintain efficient data pipelines, often within clients’ architecture. Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies
  • Assemble large, complex data sets from client and external sources that meet functional business requirements.
  • Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform. Be able to summarize and describe data and data issues
  • Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
  • Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools
  • Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
  • Assist client to deploy models and algorithms within their own architecture

Qualifications

  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field
  • At least 5+ years Professional experience in Advanced Supply Chain Data Science 
  • Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS) 
  • Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches
  • Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive
  • Experience with spark and data-frames in PySpark or Scala
  • Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing.
  • Comfortable with cloud-based platforms (AWS, Azure, Google)
  • Experience with Google Analytics, Adobe Analytics, Optimizely a plus

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+30d

Senior Software Engineer EMEA

TetraScienceIreland, Remote
MLagileDesign

TetraScience is hiring a Remote Senior Software Engineer EMEA

Who We Are 

TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes. For more information, please visit tetrascience.com.

Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add individuals to our team that demonstrate the following values:

  • Transparency and Context- We execute on our ambitious mission by starting with radical data transparency and business context. We openly and proactively share all vital data and make it actionable, so our employees and stakeholders can solve any problem presented to them.
  • Trust and Collaboration- We are committed to always communicating openly and honestly at every level of the organization, functionally, cross-functionally, internally, and externally. Empowering our employees will drive positive change across our entire ecosystem.
  • Fearlessness and Resilience- We must be fearless and resilient to fulfill our potential. We proactively run toward challenges of all types, we unblinkingly acknowledge and confront the brutal facts - which all innovative growth companies invariably face – and we embrace uncertainty and take calculated risks.
  • Alignment with Customers- We know that our customers' success is our success. We are honored and humbled by their commitment to us, and we are completely committed to ensuring they achieve their mission to unlock the world’s most important scientific innovations.
  • Commitment to Craft- We take our craft seriously and seek to be best-in-class in all we do, regardless of our functional role, seniority, or tenure. We are members of one team that combines intellectual horsepower and curiosity, humility, and empathy to ensure we are always learning and evolving.
  • Equality of Opportunity- We cannot imagine our journey without a workforce which reflects humanity’s diversity. We seek out the best of the best who bring with them unique and invaluable perspectives and talents and embody our common values - regardless of gender, ethnicity, race, or age.

We are seeking a talented Senior Software Engineer to join our team. In this role, you will be responsible for developing and maintaining high-quality software solutions that enable scientists and researchers to leverage and analyze complex datasets. You will work closely with cross-functional teams to understand user requirements, design and implement scalable software architectures, and ensure the reliability and performance of our software products.

Who you are

You are dedicated to mastering your craft and driven by a passion for innovation. You are an inventor. Committed to continually enhancing both your deliverables and the processes by which you deliver them. You take full ownership of all aspects of software development, ensuring the highest quality outcomes. You exhibit curiosity and a relentless pursuit of understanding and clarity. You view every interaction as a chance to learn and grow. Balancing humility with confidence, you recognize that you don't need to be the smartest person in the room to make a significant impact. Instead, you focus on elevating those around you, contributing to the collective success of your team.

What You Will Do

  • Join the TetraScience engineering team to develop a cutting-edge application for our customers.
  • Design and implement scalable foundational services to support data pipeline processing, search functionality, user management, and other customer-facing features.
  • Work on ML infrastructure and Generative AI applications to advance scientific use cases.
  • Build and deliver high-quality products using Agile software development methodologies.
  • Collaborate with the product management team to transform vision and ideas into tangible results.
  • Work with a geographically distributed team across various time zones.
  • Engage in continuous learning, growth, and professional development.
  • Articulate your vision to peers and leadership, while being open to constructive feedback and maintaining resilience.
  • Strong proficiency (7+ years) in Node.js, TypeScript, and Python.
  • Over 7 years of experience with Amazon Web Services (AWS).
  • Extensive experience with databases, including relational, NoSQL, and data platform infrastructure.
  • Experience with big data distributed systems, such as Databricks, Snowflake, AWS EMR, Glue, and other lakehouse technologies.
  • Proven track record with large-scale data distributed systems.
  • Excellent verbal, written, and presentation skills.
  • Bachelor’s degree in Computer Science or a related field.

    • Competitive Salary and equity in a fast-growing company.
    • Supportive, team-oriented culture of continuous improvement.
    • Generous paid time off (PTO).
    • Flexible working arrangements - Remote work.

#LIRemote

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+30d

Senior Software Engineer

TetraScienceBoston,Massachusetts,United States, Remote
MLagileDesign

TetraScience is hiring a Remote Senior Software Engineer

Who We Are 

TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes. For more information, please visit tetrascience.com.

Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add individuals to our team that demonstrate the following values:

  • Transparency and Context- We execute on our ambitious mission by starting with radical data transparency and business context. We openly and proactively share all vital data and make it actionable, so our employees and stakeholders can solve any problem presented to them.
  • Trust and Collaboration- We are committed to always communicating openly and honestly at every level of the organization, functionally, cross-functionally, internally, and externally. Empowering our employees will drive positive change across our entire ecosystem.
  • Fearlessness and Resilience- We must be fearless and resilient to fulfill our potential. We proactively run toward challenges of all types, we unblinkingly acknowledge and confront the brutal facts - which all innovative growth companies invariably face – and we embrace uncertainty and take calculated risks.
  • Alignment with Customers- We know that our customers' success is our success. We are honored and humbled by their commitment to us, and we are completely committed to ensuring they achieve their mission to unlock the world’s most important scientific innovations.
  • Commitment to Craft- We take our craft seriously and seek to be best-in-class in all we do, regardless of our functional role, seniority, or tenure. We are members of one team that combines intellectual horsepower and curiosity, humility, and empathy to ensure we are always learning and evolving.
  • Equality of Opportunity- We cannot imagine our journey without a workforce which reflects humanity’s diversity. We seek out the best of the best who bring with them unique and invaluable perspectives and talents and embody our common values - regardless of gender, ethnicity, race, or age.

We are seeking a talented Senior Software Engineer to join our team. In this role, you will be responsible for developing and maintaining high-quality software solutions that enable scientists and researchers to leverage and analyze complex datasets. You will work closely with cross-functional teams to understand user requirements, design and implement scalable software architectures, and ensure the reliability and performance of our software products.

Who you are

You are dedicated to mastering your craft and driven by a passion for innovation. You are an inventor. Committed to continually enhancing both your deliverables and the processes by which you deliver them. You take full ownership of all aspects of software development, ensuring the highest quality outcomes. You exhibit curiosity and a relentless pursuit of understanding and clarity. You view every interaction as a chance to learn and grow. Balancing humility with confidence, you recognize that you don't need to be the smartest person in the room to make a significant impact. Instead, you focus on elevating those around you, contributing to the collective success of your team.

What You Will Do

  • Join the TetraScience engineering team to develop a cutting-edge application for our customers.
  • Design and implement scalable foundational services to support data pipeline processing, search functionality, user management, and other customer-facing features.
  • Work on ML infrastructure and Generative AI applications to advance scientific use cases.
  • Build and deliver high-quality products using Agile software development methodologies.
  • Collaborate with the product management team to transform vision and ideas into tangible results.
  • Work with a geographically distributed team across various time zones.
  • Engage in continuous learning, growth, and professional development.
  • Articulate your vision to peers and leadership, while being open to constructive feedback and maintaining resilience.
  • Strong proficiency (7+ years) in Node.js, TypeScript, and Python.
  • Over 7 years of experience with Amazon Web Services (AWS).
  • Extensive experience with databases, including relational, NoSQL, and data platform infrastructure.
  • Experience with big data distributed systems, such as Databricks, Snowflake, AWS EMR, Glue, and other lakehouse technologies.
  • Proven track record with large-scale data distributed systems.
  • Excellent verbal, written, and presentation skills.
  • Bachelor’s degree in Computer Science or a related field.

  • 100% employer-paid benefits for all eligible employees and immediate family members
  • Unlimited paid time off (PTO)
  • 401K
  • Flexible working arrangements - Remote work + office as needed
  • Company paid Life Insurance, LTD/STD

We are not currently providing visa sponsorship for this position

#LIRemote

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+30d

Data Engineer II

Agile SixUnited States, Remote
MLagileDesignapigitc++pythonbackend

Agile Six is hiring a Remote Data Engineer II

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is looking for a Data Engineer for an anticipated role on our cross-functional agile teams. Our partners include: the Department of Veteran Affairs (VA), Centers for Medicare & Medicaid Services (CMS), Centers for Disease Control and Prevention (CDC) and others. 

The successful candidate will bring their experience in data formatting and integration engineering to help us expand a reporting platform. As part of the team, you will primarily be responsible for data cleaning and data management tasks, building data pipelines, and data modeling (designing the schema/structure of datasets and relationships between datasets). We are looking for someone who enjoys working on solutions to highly complex problems and someone who is patient enough to deal with the complexities of navigating the Civic Tech space. The successful candidate for this role is an excellent communicator, as well as someone who is curious about where data analysis, backend development, data engineering, and data science intersect.

We embrace open source software and an open ethos regarding software development, and are looking for a candidate who does the same. Most importantly, we are looking for someone with a passion for working on important problems that have a lasting impact on millions of users and make a difference in our government!

Please note, this position is anticipated, pending contract award response.

Responsibilities

  • Contribute as a member of a cross functional Agile team using your expertise in data engineering, critical thinking, and collaboration to solve problems related to the project
    • Experience with Java/Kotlin/Python, command line, and Git is required
    • Experience with transport protocols including: REST, SFTP, SOAP is required
    • Experience with HL7 2.5.1 and FHIR is strongly preferred
  • Extract, transform, and load data. Pull together datasets, build data pipelines, and turn semi-structured and unstructured data into datasets that can be used for machine learning models.
  • Evaluate and recommend
  • We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate and other team members and an evolving understanding of the delivery environment.

Basic qualifications

  • 2+ years of hands-on data engineering experience in a production environment
  • Experience with Java/Kotlin/Python, command line, and Git
  • Demonstrated experience with extract, transform, load (ETL) and data cleaning, data manipulation, and data management
  • Demonstrated experience building and orchestrating automated data pipelines in Java/Python
  • Experience with data modeling: defining the schema/structure of datasets and the relationships between datasets
  • Ability to create usable datasets from semi-structured and unstructured data
  • Solution-oriented mindset and proactive approach to solving complex problems
  • Ability to be autonomous, take initiative, and effectively communicate status and progress
  • Experience successfully collaborating with cross-functional partners and other designers and researchers, seeking and providing feedback in an Agile environment
  • Adaptive, empathetic, collaborative, and holds a positive mindset
  • Has lived and worked in the United States for 3 out of the last 5 years
  • Some of our clients may request or require travel from time to time. If this is a concern for you, we encourage you to apply and discuss it with us at your initial interview

Additional desired qualifications

  • Familiarity with the Electronic Laboratory Reporting workflows and data flow
  • Knowledge of FHIR data / API standard, HL7 2.5.1
  • Experience building or maintaining web service APIs
  • Familiarity with various machine learning (ML) algorithms and their application to common ML problems (e.g. regression, classification, clustering)
  • Statistical experience or degree
  • Experience developing knowledge of complex domain and systems
  • Experience working with government agencies
  • Ability to work across multiple applications, components, languages, and frameworks
  • Experience working in a cross-functional team, including research, design, engineering, and product
  • You are a U.S. Veteran. As a service-disabled veteran-owned small business, we recognize the transition to civilian life can be tricky, and welcome and encourage Veterans to apply

At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. We’re eager to meet people who believe in our mission and who can contribute to our team in a variety of ways.

Salary and Sixer Benefits

To promote equal pay for equal work, we publish salary ranges for each position.

The salary range for this position is $119,931-$126,081

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

All Sixers Enjoy:

  • Self-managed work/life balance and flexibility
  • Competitive and equitable salary (equal pay for equal work)
  • Employee Stock Ownership (ESOP) for all employees!
  • 401K matching
  • Medical, dental, and vision insurance
  • Employer paid short and long term disability insurance
  • Employer paid life insurance
  • Self-managed and generous paid time off
  • Paid federal holidays and Election day off
  • Paid parental leave
  • Self-managed professional development spending
  • Self-managed wellness days

Hiring practices

Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

 

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+30d

Manager, Software Engineering - ML AI DG Platform

AddeparRemote, Pune, India
MLagilepython

Addepar is hiring a Remote Manager, Software Engineering - ML AI DG Platform

Who We Are

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 45 countries, Addepar’s platform aggregates portfolio, market and client data for over $6 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh and Pune.

Location - Pune OR Bengaluru

The Role

Be at the forefront of exciting data initiatives at Addepar!

Addepar is hiring a hands-on engineering manager who will bring to bear their expertise, leadership, and platform management skills to create solutions for Machine Learning, AI, and Data Governance.

What You’ll Do

  • Work in partnership with product managers and technical partners to identify requirements and priorities, and map out solutions for challenging technology and workflow problems.
  • Gain foundational knowledge of core Addepar systems, including the Addepar Data Lakehouse. Use these insights to inform a strategic approach for AIML Ops, and Data Governance infrastructure.
  • Create platform-based solutions for the creation, tuning, and deployment of Machine Learning and AI solutions
  • Reduce complexity through the adoption of strategic data architecture and workflows
  • Unlock data value through the enablement of data governance outcomes

Who You Are

  • 10+ years of experience in the software engineering field.
  • 5+ years of relevant work experience and education that shows proficiency in platform management, particularly in enabling Machine Learning and AI outcomes.
  • A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills.
  • Practical knowledge of agile practices with an outlook that prioritizes experimentation and iteration combined with an ability to guide teams toward activities and processes that facilitate optimal outcomes.
  • Comfortable working in a cloud context, with automated infrastructure and service oriented architecture.
  • Experience with Data Governance initiatives and a track-record of improving data outcomes
  • Experience with SaaS / Cloud offerings will be a big plus.
  • Experience with Python will be a big plus.

Our engineering stack has PySpark on Databricks at its core; so experience in these technologies is preferred.

Our Values 

  • Act Like an Owner -Think and operate with intention, purpose and care. Own outcomes.
  • Build Together -Collaborate to unlock the best solutions. Deliver lasting value. 
  • Champion Our Clients -Exceed client expectations. Our clients’ success is our success. 
  • Drive Innovation -Be bold and unconstrained in problem solving. Transform the industry. 
  • Embrace Learning -Engage our community to broaden our perspective. Bring a growth mindset. 

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com.

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+30d

R&D - ML Engineer (Mid) / Horizon Project Technical Leader

EXUSAthens,Attica,Greece, Remote
MLDesign

EXUS is hiring a Remote R&D - ML Engineer (Mid) / Horizon Project Technical Leader

EXUS AI Labs, the R&D department of EXUS, is where we design and develop robust and trustworthy AI solutions that allow us to leverage the untapped potential of big data analytics across multiple verticals. For more than 25 years, EXUS has gained substantial experience in managing research activities, from the ideation to the realization phase, taking advantage of a highly professional and diverse team. Currently, EXUS AI Labs coordinates and participates in projects which have received funding under the H2020 Research and Innovation Programme, as well as national funding schemes such as Innovate UK.


Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose ofbeing role models for a better world.

This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people. We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good. We are positive and eager to learn and explore. We are committed to our vision.

Our shared Values:

  • We are transparent and direct
  • We are positive and fun, never cynical or sarcastic
  • We are eager to learn and explore
  • We put the greater good first
  • We are frugal and we do not waste resources
  • We are fanatically disciplined, we deliver on our promises

We are EXUS!Are you?


Right now, we have a vacancy for an R&D - ML Engineer (Mid) / Horizon Project Technical Leader. This is a fully remote opportunity. You will join a multidisciplinary team of Engineers, Data Scientists, and innovation management Experts that excel in driving innovation in software engineering, A.I., and data analytics, to foster advances in key sectors such as banking, security, health, finance, creativity, and lifelong learning.

Our department is working on numerous large-scale Research and Innovation Projects in various sectors such as Security (Physical and Digital), Health, and Creativity. Our core competence is around A.I., data analytics, real-time systems engineering, complex event processing, and large-scale cloud implementations.


Your main duties will be:

  • Technical Project Management (project’s effort allocation, task plan, projects' progress overview, participation in calls & meetings).
  • Projects' Technical specification definition & Architecture Design (technical requirements definition, software architecture design, data flows definition)
  • Apply Machine Learning algorithms and techniques, build and maintain end-to-end solutions
  • Statistical analysis and fine-tuning using test results
  • Collaborate with data scientists and software engineers to build and maintain data and model pipelines.
  • Provide solutions to any technical-related issues during a project’s lifecycle


  • BSc degree in Computer Science, Mathematics or a similar field. An MSc degree will be highly appreciated. 
  • Proven working experience, 3 to 5 years, on application development project(s). 
  • Good knowledge of mathematics, probability, statistics, and computational algorithms. 
  • Proven experience and competence in software engineering and design. 
  • Good understanding of data structures, data modeling, and software architectures. 
  • Expertise in data analysis and visualization   
  • Proven experience in Python 
  • Familiarity with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, pandas, scikit-learn). 
  • Good knowledge of Git 
  • Experience with REST-API design and implementation 
  • Working experience in Research / H2020 Projects, will be highly appreciated 

Preferred Skills

  • Experience in frameworks Django, FLASK or FastAPI
  • Familiar with SQL databases
  • Familiarisation with application containers (Docker) and general exposure to continuous integration processes and practices
  • Familiarization with event-driven processes

General Skills:

  • Excellent understanding of the English language (both verbal & written)
  • Strong problem-solving skills and analytical thinking
  • Team player, self-motivated, constantly seeking new knowledge

Ability to travel (up to 10% of total working time, in European destinations) / Fulfilled military obligations for male candidates

At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success.


  • Fully remote work setup
  • Competitive salary
  • Inclusive work environment & Well-being Program
  • A clear induction program & a mentoring buddy to help you
  • Private health insurance allowance

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+30d

Senior Software Engineer for Campaigns team (Engagement)

BloomreachSlovakia, Czechia, Remote
MLDevOPSredisremote-firstjiraDesignmobilemongodbapigitpython

Bloomreach is hiring a Remote Senior Software Engineer for Campaigns team (Engagement)

Bloomreach is the world’s #1 Commerce Experience Cloud, empowering brands to deliver customer journeys so personalized, they feel like magic. It offers a suite of products that drive true personalization and digital commerce growth, including:

  • Discovery, offering AI-driven search and merchandising
  • Content, offering a headless CMS
  • Engagement, offering a leading CDP and marketing automation solutions

Together, these solutions combine the power of unified customer and product data with the speed and scale of AI optimization, enabling revenue-driving digital commerce experiences that convert on any channel and every journey. Bloomreach serves over 850 global brands including Albertsons, Bosch, Puma, FC Bayern München, and Marks & Spencer. Bloomreach recently raised $175 million in a Series F funding round, bringing its total valuation to $2.2 billion. The investment was led by Goldman Sachs Asset Management with participation from Bain Capital Ventures and Sixth Street Growth. For more information, visit Bloomreach.com.

 

Are you looking for a cutting-edge tech stack to work with on a daily basis? We are currently expanding our Campaigns team and are looking for a new colleague to join as a Senior Software Engineer. The salary range starts at 3500€ per month, along with restricted stock units and other benefits. Working in one of our Central European offices or from home on a full-time basis, you‘ll become a core part of the Engineering Team.

What challenge awaits you?

As a Senior Software Engineer at our company, you'll come face-to-face with exciting, high-end technical challenges. You'll be a part of a team that delivers magical customer experiences through personalized omnichannel marketing campaigns. You’ll work on  implementing new microservices into our architecture, managing high-throughput systems, and enhancing the speed and reliability of our platform. You will utilize cutting-edge AI-powered solutions, such as GenAI and LLMs. 

You'll collaborate closely with other engineering teams and product managers to ensure seamless integration of our campaigns automation features with the rest of our platform, fostering a culture of collaboration and innovation. This role offers a unique opportunity to combine your technical expertise with a passion for customer experience enhancement and a desire to empower businesses with data-driven personalization.

Your job will be to:

  1. Design & Deliver new features
  2. Ensure quality and performance of developed solution
  3. Support and Maintain owned components

a. Design & Deliver new features

  • Translate business requirements for product features into technical specifications and design documents.
  • Collaborate with other engineering teams to ensure a unified software architecture.
  • Define and develop back-office API endpoints as well as high-performance serving endpoints.
  • Develop and implement high-throughput, scalable and reliable systems to support new features.
  • Deploy and monitor new features in production, ensuring seamless integration with existing systems.

b. Ensure quality and performance of developed solution

  • Perform API testing, including unit tests, system tests and performance tests.
  • Implement monitoring systems and dashboards to track the performance of our systems in production, identify potential issues, and optimize for speed and cost efficiency.
  • Contribute to developing and implementing DevOps best practices within the team.

c. Support and Maintain owned components

  • Maintain end-to-end features, encompassing microservices, back-office APIs, and high-performance serving APIs.
  • Provide ongoing support and maintenance for existing features, including troubleshooting issues, fixing bugs, and implementing enhancements.
  • Support our client-facing colleagues in the investigation of possible issues (L3 support).
  • Document code, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.

What technologies and tools does the Campaigns team work with?

  • Programming languages - Go, Python
  • Google Cloud Platform services - GKE, BigQuery, BigTable, GCS, VertexAI 
  • Data Storage and Processing - MongoDB, Redis, Kafka 
  • Software and Tools - Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty 

The owned area focuses on Marketing Campaigns Automation, including scheduling, audience management, content personalization and delivery. We support various marketing channels, such as Mobile Messaging, Emails, SMS/MMS, Push Notifications and Webhooks. We use Jinja for personalization and utilize ML models for content generation. Therefore, having experience in the mentioned areas is an advantage.

Your success story will be:

  • In 30 Days: Successfully onboard and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
  • In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
  • In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

  1. Professional — Proven experience in Go or Python engineering, system design, and maintenance in the area of campaign automation.
  2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

  • Proven experience in at least one of the following languages: Go or Python, which are essential for building our data-driven features.
  • Solid understanding of microservice-oriented architecture and experience in building systems with high throughput and low latency APIs. Familiarity with service orchestration and management (e.g. GKE).
  • Experience with version control systems (Git) and CI/CD pipelines. We utilize Git for code management and CI/CD pipelines for efficient development and deployment.
  • Familiarity with database management (preferably MongoDB and Redis) and event streaming (e.g. Apache Kafka).
  • Experience with integrating omnichannel communication such as Mobile Messaging, Emails, SMS/MMS, Push Notifications and Webhooks would be a valued asset.
  • Interest in Generative AI and its applications is a plus.

Personal qualities

  • Demonstrates strong initiative and a proactive approach to problem-solving.
  • Excellent communication and collaboration skills, with the ability to work effectively within a team.
  • A genuine passion for learning new technologies and keeping up-to-date with the latest advancements.
  • A commitment to delivering high-quality work and a dedication to continuous improvement.

Excited? Join us and transform the future of commerce experiences.

More things you'll like about Bloomreach:

Culture:

  • A great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. 

  • We have defined our5 valuesand the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. 

  • We believe in flexible working hours to accommodate your working style.

  • We work remote-first with several Bloomreach Hubs available across three continents.

  • We organize company events to experience the global spirit of the company and get excited about what's ahead.

  • We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*.
  • TheBloomreach Glassdoor pageelaborates on our stellar 4.6/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5

Personal Development:

  • We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions.

  • Our resident communication coachIvo Večeřais available to help navigate work-related communications & decision-making challenges.*
  • Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins.

  • Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)*

Well-being:

  • The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.*

  • Subscription to Calm - sleep and meditation app.*

  • We organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones.

  • We facilitate sports, yoga, and meditation opportunities for each other.

  • Extended parental leave up to 26 calendar weeks for Primary Caregivers.*

Compensation:

  • Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.*

  • Everyone gets to participate in the company's success through the company performance bonus.*

  • We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts.

  • We reward & celebrate work anniversaries -- Bloomversaries!*

(*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.)

Excited? Join us and transform the future of commerce experiences!

If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!


Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees.

#LI-Remote

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+30d

Linux Support Engineer I - 2nd Shift

LambdaRemote
MLLambdaazuremetallinuxpythonAWS

Lambda is hiring a Remote Linux Support Engineer I - 2nd Shift

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

Note: This role is a 2nd shift position with a schedule of 2 PM - 12 AM CDT, Wednesday to Saturday. During the onboarding period, you will follow a standard Monday-Friday work schedule until onboarding is complete.

What You’ll Do

  • Be the first point of contact for all incoming technical support questions and handle all customer interactions with understanding, empathy, and transparency.
  • Troubleshoot OS, hardware, and Lambda Stack issues for customers and provide guidance on the best technical solutions that suit their needs.
  • Route and escalate tickets, as needed, to appropriate teams and departments while owning customer communication throughout the issue lifecycle.
  • Work with our technical writing team to document solutions to common problems to allow for future customer self-service.
  • Provide feedback to internal teams on technical issues our customers are facing and, above all, be the customer’s advocate.
  • Work together in a cohesive, customer-first collaborative team environment, sharing your skills, knowledge, and experience.

You

  • Have Linux administration experience in bare-metal, virtualized, and/or cloud environments.
  • Familiarity with private or hybrid cloud environments, such as Azure, AWS, and/or OCI.
  • Experience with monitoring and alerting for enterprise and cloud environments.
  • Have Shell and Python scripting proficiency.
  • Strong ability to curate and adhere to technical standard operating procedures.
  • Possess excellent written and oral communication skills.
  • Proven experience when handling multiple customer interactions in a fast-paced environment.

Nice to Have

  • Familiarity with datacenter level hardware, including GPUs.
  • Familiarity with ML / AI / Deep Learning.
  • Experience with Zendesk ticketing.
  • Wide flexibility for scheduling as we push for 24/7 support availability.

Salary Range Information 

Based on market data and other factors, the salary range for this position is $69,000-$105,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. 

About Lambda

  • We offer generous cash & equity compensation
  • Investors include Gradient Ventures, Google’s AI-focused venture fund
  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • We have a wildly talented team of 300, and growing fast
  • Health, dental, and vision coverage for you and your dependents
  • Commuter/Work from home stipends for select roles
  • 401k Plan with 2% company match
  • Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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+30d

Senior Software Engineer, Core Experiences

InstacartUnited States - Remote
MLMaster’s DegreeDesignmobilerubybackend

Instacart is hiring a Remote Senior Software Engineer, Core Experiences

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

This role challenges traditional approaches to digital shopping by improving backend systems that power a seamless user journey. You will lead efforts to enhance content discoverability and purchase processes, helping to perfect the interaction between user desires and our vast product offerings.

About The Role

The Senior Software Engineer will focus on enhancing the user experience by developing robust backend architectures that support advanced recommendation and personalization systems. In close collaboration with ML engineers, product teams, and data scientists, you will lead the innovation of our backend services, enabling sophisticated, data-driven features that adapt to our customers' shopping behaviors.

About the Team

The Core Experience teams are dedicated to creating engaging and straightforward shopping experiences. You will be part of a team that is at the heart of product innovation, focusing on everything from the user interfaces to the underlying systems that support our web and mobile platforms. Our team’s work is guided by a data-driven methodology that ensures decisions are aligned with consumer needs, helping us move swiftly and efficiently in our development processes.

 

Overview of the Core Experiences teams that are currently hiring:

Discover Team:

An engineer who will be enhancing our feed architecture, refining how content is recommended and delivered to optimize the shopping journey. The role will collaborate with ML engineers, product managers, and data scientists to drive the transformation of Instacart's recommendation systems, ensuring every interaction is personalized and impactful.

About the Job

Responsibilities:

  • Design, build, and maintain high-quality backend applications.
  • Lead the development of our backend system's roadmap, prioritizing scalability and reliability.
  • Innovate and think creatively to develop new features that enhance our customer's shopping experiences.
  • Own and lead major components of our product, ensuring they meet both internal standards and external expectations.
  • Collaborate across teams to foster a unified approach to product development, facilitating consensus and driving effective outcomes.
  • Responsible for the strategic planning and execution of projects you oversee, from inception to deployment and maintenance.

About You

Minimum Qualifications

  • 5+ years of backend development experience, with a strong record of project delivery.
  • Proficiency in backend languages, such as Ruby or Go.
  • A solid foundation in unit testing and problem-solving.
  • Exceptional communication skills and the ability to lead and collaborate with diverse teams.
  • Holds a Bachelor's or Master’s degree in Computer Science, Software Engineering, or equivalent experience.

Preferred Qualifications

  • Experience with recommender systems and personalization algorithms.
  • Familiarity with ML model development and iteration.
  • Deep understanding of feed architecture principles.
  • Skilled in the use of monitoring and observability tools like Datadog.
  • Extensive experience with database management, particularly PostgreSQL.

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policyhere.

Offers may vary based on many factors, such as candidate experience and skills required for the role.Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offeringshere.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ
$192,000$245,000 USD
WA
$184,000$235,000 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$176,000$225,000 USD
All other states
$159,000$203,000 USD

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+30d

Director of Data Science

KalderosChicago, IL, Remote
MLagileDesignmobileslackazurec++

Kalderos is hiring a Remote Director of Data Science

About Us

At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing.  Our success is measured when we can empower all of healthcare to focus more on improving the health of people. 

To learn more: https://www.kalderos.com/company/about 

Kalderos is a fast growing, venture-backed, remote first company which provides data analytics and software to our customers. We have many customers and utilize a modern technology stack (Snowflake, DBT, Azure, React, Databricks, AI and ML models)

Our company’s success is driven by Kalderos’ greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and welcomes on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission.

That’s where you come in! We’re looking for a Director of Data Science to oversee the Data Analytics and Data Science functions of the company. 

What You’ll Do:

  • Work closely across data analytics, data science and product to enable the team to deliver high impact functionality and hit dates committed to on the roadmap
  • Use business acumen to help prioritize product features and technology roadmap items
  • Create and maintain a technology roadmap
  • Work closely with other engineering leadership to mentor and guide them on business, career planning, budget and technical architecture
  • Create and maintain an engaging and fun engineering and data culture
  • Coach and mentor analysts, data scientists and managers to empower them to be the best versions of themselves. You will need to find the right balance between creating the space for them to do their best work, and coaching and developing new skills.
  • Recruit and onboard new analysts, data scientists and managers
  • Improve our delivery processes to increase accuracy of estimation, reliability of delivery, and velocity of execution
  • Oversee the company’s technology vendor relationships and provide recommendations on whether to buy or build components and capabilities
  • Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon

What You’ll Bring:

  • Bachelor’s degree in computer science or other engineering disciplines, or equivalent experience
  • 5+ years experience as a Software Engineer or Data Scientist in a professional full-time role
  • 8+ years experience leading a data analytics, data science or similar data team
  • 4+ years experience working with data scientists on AI / ML modeling
  • Experience with Cloud Native technology development and deployment
  • Experience building and scaling teams including leading recruiting initiatives
  • Understand and design for non-functional concerns such as performance, cost optimization, and maintainability
  • Great analytical and problem-solving skills with an eye for requirements analysis, debugging, and risk assessment
  • Knowledge of and experience implementing engineering principles and agile development procedures

Set Yourself Apart:

  • Experience in the Healthcare or similarly regulated industry
  • Azure experience
  • Databricks experience
  • ML models experience

Expected Salary Range: $175,000 - $215,000 base + bonus

This position can be remote in the United States or hybrid in Chicago, IL or Boston, MA. Expected hours will be Eastern or Central time.

____________________________________________________________________________________________

Highlighted Company Perks and Benefits

  • Medical, Dental, and Vision benefits
  • 401k with company match
  • Flexible PTO with a 10 day minimum
  • Opportunity for growth
  • Mobile & Wifi Reimbursement
  • Commuter Reimbursement
  • Donation matching for charitable contributions
  • Travel reimbursement for healthcare services not available near your home
  • New employee home office setup reimbursement

What It’s Like Working Here

  • We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems.
  • We empower each other and believe in ensuring all voices are heard.
  • We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture. 
  • We’re curious and go deep. Our slack channel is filled throughout the day with insightful articles, discussions around our industry, healthcare, and our book club is always bursting with questions.

To learn more:https://www.kalderos.com/company/culture

We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out!

Kalderos is proud to be an equal opportunity workplace.  We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

Kalderos participates in E-Verify.

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+30d

Data Engineer (Senior/Staff) - Colombia

MLFull TimeDevOPSscalanosqlsqlDesignUXjavac++dockerkubernetespythonAWS

CivicScience is hiring a Remote Data Engineer (Senior/Staff) - Colombia

Data Engineer (Senior/Staff) - Colombia - CivicScience - Career PageImplement and support a plat

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+30d

Software Engineer- MLOps and Benchmarking

ScienceLogicReston, VA or Remote
MLremote-firstDesignuic++swaggerpythonAWSbackendfrontend

ScienceLogic is hiring a Remote Software Engineer- MLOps and Benchmarking

 

What we’re looking for…

 

ScienceLogic is seeking an MLOps Engineer who will play a critical role in operationalizing GenAI offerings. Ideal candidates will be passionate and have had proven expertise in designing and engineering MLOps pipelines or CI/CD implementations as well as curating data for machine learning and/or Large Language Models for benchmarking. You are ever curious and hungry to learn, with a bias toward action and delivering value to the customer quickly. We are building out a leading-edge, AI-first monitoring analytics platform for ScienceLogic customers and prospects. The capabilities of this platform will eclipse what other observability vendors are bringing. This is the product you'll be working on.

 

What you’ll be doing…

 

  • Deploying, monitoring, and optimizing machine learning models and overall, AI infrastructure – At scale designing and managing of model lifecycle deploying.
  • Creation/curation of datasets – Building a robust repository of datasets that exercise myriads of test cases.
  • Automation of regression testing – Ensuring that the AIML systems built are scalable and sustainable across our established and growing customer base.
  • Establishing and monitoring benchmarks – Researching industry best practices and translating them to what ScienceLogic can maintain and evolve to give extremely superior quality of trustworthy machine learning solutions.
  • You will be working key leaders of our Analytics group including CTO of Skylar AI to develop core offering and help build out the team.

Qualities you possess…

 

  • BS/MS/PhD in Computer Science or similar technical field of study.
  • 5+ experience with software engineering developing and deploying production-level code for highly scalable distributed systems.
  • Experience with following tech stack:
    - Frontend: React UI, Swagger APIs.
    - Backend: Python, ClickHouse, OpenTelemetry.
    - Cloud: Mostly AWS, but on-prem is deployed via HELM, as a cloud-native app.
    - ML: HuggingFace Python libs, PostgresML, Pytorch, OpenAI.

 

As the MLOPs engineer, you'll resonate with and embody our core values –

  • Empathy: We empathize with our customers to help them solve core problems. Our empathy also extends to our team as we enable people to experiment, grow and do their best work.
  • Ownership: Joining at an early stage of this product's design and implementation, you will be expected to own large parts of the product and work through high ambiguity without explicit direction. You will also be expected to bring forth feedback and ideas to help shape the product.
  • Communication: Strong communication is required to work through ambiguity and showcase clarity of thought when interacting with customers, prospects, and the team.
  • Ambition: We are here to solve hard problems and want to bring on board people who seek out challenges and want to excel. Have something to prove about yourself? Willing to put in the necessary effort to overcome a lack of particular education or experience? You’ll make your mark here.

 

 

The base pay range for this position is:
$130,000$140,000 USD

 

 

 

Benefits & Perks

  • A remote-first culture - work from home or come into the office, it's totally up to you.
  • Comprehensive medical, dental and vision plans.
  • 401(k) plan with employer match.
  • Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
  • Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
  • 5-year Service Milestone Sabbatical.
  • Paid parental leave.
  • Generous employee referral bonus program.
  • Pet insurance.
  • HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
  • Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
  • The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

 

 

About ScienceLogic

We empower intelligent and automated IT operations.

The ScienceLogic SL1 platform enables companies to digitally transform themselves by removing the difficulty of managing complex, distributed IT services. We use patented discovery techniques to find everything in your IT environment, so you get visibility across all technologies and vendors running anywhere in your data centers or clouds

 

www.sciencelogic.com

 

All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.

 

#LI-Remote

 

 

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+30d

Software Engineer - AI Database and Performance

ScienceLogicReston, VA or Remote
MLremote-firstDesignuic++swaggerpythonAWSbackendfrontend

ScienceLogic is hiring a Remote Software Engineer - AI Database and Performance

 

What we’re looking for…

 

ScienceLogic is seeking an AI Database Performance Engineer who will help shape the system and solution design of ScienceLogic’s most advanced GenAI offerings. Ideal candidates will be passionate and have had proven expertise in database technologies especially columnar data modeling, query optimization and OLAP. You would be responsible to make sure the various system databases are well-structured to support downstream model training. You are ever curious and hungry to learn, with a bias toward action and delivering value to the customer quickly. We are building out a leading-edge, AI-first monitoring analytics platform for ScienceLogic customers and prospects. The capabilities of this platform will eclipse what other observability vendors are bringing. This is the product you'll be working on.

 

What you’ll be doing…

 

  • You will be working key leaders of our Analytics group including CTO of Skylar AI to develop core offering and help build out the team.
  • Working with highly scalable and performant databases like Clickhouse: Modeling and creating OLAP cubes for exploration. You will use your mastery in query optimization and database system design.
  • Governance and guard-rail monitoring of production databases: You will participate in large scale data product deployment and help setup best practices around maintaining robust schema and entity modeling.
  • You will use your understanding of ML Training Data and User Feedback to guide the data scientists to collect the right data for fine-tuning, relevance ranking optimization, and benchmarking.

 

Qualities you possess…

 

  • BS/MS/PhD in Computer Science, similar technical field of study, or equivalent practical experience.
  • 5+ experience with software engineering developing and deploying production-level code for highly scalable distributed systems.
  • Proven expertise in database technologies, especially columnar data modeling, query optimization and OLAP.
  • Experience with following tech stack is a plus:
    - Frontend: React UI, Swagger APIs.
    - Backend: Python, ClickHouse, OpenTelemetry.
    - Cloud: Mostly AWS, but on-prem is deployed via HELM, as a cloud-native app.
    - ML: HuggingFace Python libs, PostgresML, Pytorch, OpenAI.

 

As the lead AI database optimization engineer, you'll resonate with and embody our core values –

  • Empathy: We empathize with our customers to help them solve core problems. Our empathy also extends to our team as we enable people to experiment, grow and do their best work.
  • Ownership: Joining at an early stage of this product's design and implementation, you will be expected to own large parts of the product and work through high ambiguity without explicit direction. You will also be expected to bring forth feedback and ideas to help shape the product.
  • Communication: Strong communication is required to work through ambiguity and showcase clarity of thought when interacting with customers, prospects, and the team.
  • Ambition: We are here to solve hard problems and want to bring on board people who seek out challenges and want to excel. Have something to prove about yourself? Willing to put in the necessary effort to overcome a lack of particular education or experience? You’ll make your mark here.

 

Benefits & Perks

  • A remote-first culture - work from home or come into the office, it's totally up to you.
  • Comprehensive medical, dental and vision plans.
  • 401(k) plan with employer match.
  • Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
  • Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
  • 5-year Service Milestone Sabbatical.
  • Paid parental leave.
  • Generous employee referral bonus program.
  • Pet insurance.
  • HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
  • Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
  • The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

The typical base pay range for this role across the U.S. is USD $180,000 - $200,000 per year. In addition, this role is eligible for an annual bonus and stock option grants. 

 

About ScienceLogic

We empower intelligent and automated IT operations.

The ScienceLogic SL1 platform enables companies to digitally transform themselves by removing the difficulty of managing complex, distributed IT services. We use patented discovery techniques to find everything in your IT environment, so you get visibility across all technologies and vendors running anywhere in your data centers or clouds

 

www.sciencelogic.com

 

All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.

 

#LI-Remote

 

 

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+30d

Lead Decision Scientist

MonzoCardiff, London or Remote (UK)
MLsqlDesignc++pythonAWSbackend

Monzo is hiring a Remote Lead Decision Scientist

???? We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking. 

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We’re not about selling products - we want to solve problems and change lives through Monzo ❤️

Hear from our team about what it's like working at Monzo


 

????London or Remote (UK)  | ???? £100,000 to £150,000 + Stock Options + Benefits | Hear from the team

About us:

At Monzo we want to make money work for everyone. We care deeply about our 10 million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core.

Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.

About the role:

The mission of Borrowing Decision Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing.

You will be taking a hands-on technical leadership role among a small team of very experienced and self-sufficient Decision Scientists. With in-depth knowledge and experience in the credit industry, you’ll drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products. You’ll have a close relationship with leaders across Credit Strategy, Model Validation, Products and Engineers, to drive and influence strategic decisions and product roadmaps. You’ll also have the opportunities to work with external data suppliers and industry peers, to push the innovation frontiers for the credit industry.

With excellent technical skills, you’ll also spearhead the continuous development of our toolings, methodologies, and processes, to empower the team build better models easier and faster. You’ll serve as the champion for the quality and efficiency of model development, and ensure safe and scalable growth of our model portfolio. You’ll also have plenty opportunities to work with other modelling teams across Monzo, to collaborate on the best practices and latest technologies.

Our technology stack

We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):

  • Google Cloud Platform for all of our analytics usages
    • BigQuery SQL and dbt for our data modelling and warehousing
    • PyData stack for model development and offline deployment
    • Google AI platform for cloud computing
  • AWS for backend infrastructure
    • Python for ML model microservices
    • Go lang for most other microservices

You should apply if:

  • You are result oriented and motivated by the impact on our customers and business
  • You thrive in a fast-paced environment and comfortable with frequent context switching
  • You enjoy both the strategic thinking and influence, as well as hands-on solving technical problems
  • You want to build trust and influence a diverse range of leaders and stakeholders
  • You like inspiring people around you, with innovative thinking and high standard execution

You must have:

  • Excellent technical skills in Python, SQL, and statistics
  • Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations
  • Hands-on experience across the lifecycle of credit risk models, including project scoping, data curation, model optimisation, performance analysis, deployment, monitoring, and diagnosis
  • Successful track record of managing complex projects, with cross-functional teams and senior stakeholders

Even better if you have:

  • Previous experience of handling relationships with data suppliers such as credit bureaus
  • Previous experience of managing data and model governance

The Interview Process:

Our interview process involves the following stages:

  • Recruiter Call
  • Take Home Task
  • 4x (virtual) face-to-face stages
    • Technical interview
    • Case study
    • Value & collaboration
    • Leadership

Our average process for this level role takes around 5-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

One of our team has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

???? £100,000 to £150,000 ➕ plus stock options & benefits

✈️ We can help you relocate to the UK

✅ We can sponsor visas

????This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

???? Learning budget of £1,000 a year for books, training courses and conferences

➕ And much more, see our full list of benefits here

#LI-NB2  #LI-Remote


Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage ????

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John Snow Labs is hiring a Remote Machine Learning Engineer - Large Language Models

Job Description

We are seeking a highly skilled and experienced Machine Learning Engineer to join our team. The ideal candidate will have a robust background in machine learning, natural language processing (NLP), and Large Language Models (LLMs). The role focuses on training, tuning, and evaluating AI models as part of a diverse team which includes professionals from software engineering, data science, and medicine.

Qualifications

Key Responsibilities:

• Adapt LLMs to diverse healthcare use-cases using techniques such as Sparse Fine-Tuning (SFT), Prompt Engineering Fine-Tuning (PEFT), Direct Parameter Optimization (DPO), and Proximal Policy Optimization (PPO).
• Optimize LLMs for Retriever-Augmented Generation (RAG) to enhance decision-making and information retrieval capabilities.
• Collect, clean, and refine healthcare datasets for training LLMs to ensure high-quality data provisioning.
• Convert models into various formats suitable for production environments, ensuring their readiness for real-world application.

Requirements:

        •  5+ years of hands-on professional experience in software engineering, building production-grade deep learning solutions.
        •  An academic degree in computer science, data science, or a related degree. M.Sc. or Ph.D. degree is strongly preferred.
        •  Demonstrated expertise in model tuning frameworks like Axolotl.
        •   Familiarity with model serving frameworks, including vLLM, TGI, and llama-cpp, to support the deployment and scalability of machine learning models.
        •  Knowledge of model quantization techniques and frameworks to optimize AI models for performance in resource-constrained environments.
        •  Hands-on experience with Transformer architectures and proficiency in machine learning frameworks such as PyTorch.

This role offers an opportunity to be at the forefront of technological advancement in AI and healthcare, contributing to innovations that advance the healthcare, life science, and open-source AI communities. When applying, please add a cover letter which includes the words ‘John Snow Labs’ and explains your academic, professional ML engineering, and recent LLM engineering experience.

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+30d

Sr. Director, CRM

MLc++

hims & hers is hiring a Remote Sr. Director, CRM

Hims & Hers Health, Inc. (better known as Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions related to mental health, sexual health, hair care, skincare, heart health, and more.

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS”. To learn more about the brand and offerings, you can visit hims.com and forhers.com, or visit our investor site. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

​​About the Role:

The Senior Director, CRM is responsible for developing and implementing strategies to improve our customer communications. This is done by enabling scalable lifecycle campaigns to ensure customers have a great onboarding and active customer experience. The foundation of success will be measuring the effectiveness of this work on the customer journey and building a messaging platform capable of scaling with the growth potential of the business.

This person will lead all aspects of the company’s CRM efforts, not limited to: Email, SMS, push notifications, in-app content & content development. They will also lead development of the staff, processes, and systems necessary to establish a world-class CRM team. This role will integrate with a large cross-functional group to ensure that Hims and Hers CRM growth is accelerating as we continue to evolve as a business, with success expected across the entire customer lifecycle.

You Will:

  • Develop and maintain best-in-class CRM strategy for Hims and Hers product categories that result in strong acquisition and retention metric improvements
  • Manage the CRM team, which includes strategists, managers and directors dedicated to CRM campaign management and technical operations
  • Foster development for all team members and ensure a healthy work environment for all team members
  • Build quarterly road maps of projects to complete to drive channel growth and to support product launches
  • Lead team meetings and ensure all team members are evaluating performance trends and prioritizing the most impactful initiatives
  • Foster collaborative relationships with cross-functional teams that integrate with CRM growth strategy - category growth, analytics, legal, product & telemedicine
  • Interpret key performance metrics, identify trends, and prioritize opportunities for operating income growth through enhancements to customer onboarding, active customer touchpoints & retention strategies
  • Report growth results on a regular basis to the broader growth marketing team, using insights to continually optimize performance and identify growth opportunities
  • Stay abreast of changes in CRM technology, identify best practices, and bring new opportunities and ideas to fruition
  • Identify opportunities for automation leveraging internal/external tools. Act as strategic lead for the integration of AI / ML into CRM strategy
  • Work cross-functionally with Growth, Product, Operations, Business Development and Medical teams to increase site traffic and drive conversion

You Have:

  • 12+ years of hands-on experience managing CRM strategy + lifecycle marketing
  • Experience with various CRM platforms / technology. Braze experience is a plus
  • Proven track record of driving measurable revenue and retention improvements
  • Strong quantitative analysis skills, an affinity for numbers, and the ability to process complex calculations quickly and accurately
  • Functional knowledge of marketing technology and experience with integrating automation in collaboration with product and engineering teams
  • Exceptional customer insights and proven success utilizing analytics to provide strategic recommendations and drive concrete action
  • Strong written communication and presentation skills
  • Self-starter, strong organizational skills, ownership mentality and the ability to prioritize work
  • Ability to work in a highly collaborative environment, multi-task and participate in team-based planning process
  • Experience managing direct reports with multiple years of experience

Preferred Qualifications:

  • Bachelors' degree in Marketing, Business, Technology or related field, or equivalent work experience

Our Benefits (there are more but here are some highlights):

  • Competitive salary & equity compensation for full-time roles
  • Unlimited PTO, company holidays, and quarterly mental health days
  • Comprehensive health benefits including medical, dental & vision, and parental leave
  • Employee Stock Purchase Program (ESPP)
  • Employee discounts on hims & hers & Apostrophe online products
  • 401k benefits with employer matching contribution
  • Offsite team retreats

 

#LI-Remote

 

Outlined below is a reasonable estimate of H&H’s compensation range for this role for US-based candidates. If you're based outside of the US, your recruiter will be able to provide you with an estimated salary range for your location.

The actual amount will take into account a range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant.

Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors.

An estimate of the current salary range is
$235,000$275,000 USD

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.

Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.

Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.

For our California-based applicants – Please see our California Employment Candidate Privacy Policy to learn more about how we collect, use, retain, and disclose Personal Information. 

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+30d

AI Solution Manager

ServiceNowAddison, TEXAS, Remote
MLAbility to travel

ServiceNow is hiring a Remote AI Solution Manager

Job Description

Team

Come join the AI Solution Success team in the Advanced Technology Group (ATG). We are focused on customer-facing and internal projects. You’ll work alongside a team of seasoned professionals working on leading edge, innovative projects to help drive the business. This global team is highly collaborative and shares the best practices. We work on scalable AI (Artificial Intelligence) solutions, so if you are a results-oriented visionary that likes to dream big, come join our team!

Who we are?

We are a team composed of cross-functional SMEs from ATG, Platform, Business Units, Customer Outcomes and QE and multiple customer-focused teams of ML, SW, and QE engineers that bring varied perspectives and diverse expertise to drive customer adoption of AI experiences, as well as guide customer driven innovation within ATG.

What's our purpose?

Accelerate value realization of AI-powered workflows by customers at scale.

What we do?

Work with early adopters to validate AI solutions and realize value by learning and quickly improving the solution on real customer data. We'll create practical playbooks to guide new implementations, boost adoption and drive future product innovation. Some of the work the team has been instrumental at is to improve customer adoption of our multi-language Natural Language Understanding (NLU), AI search, Issue Auto-Resolution and other related AI solutions with customers.

What you get to do in this role:

The AI Solution Manager is responsible for defining, planning & leading programs for the implementation of AI solutions for our customers to solve complex business challenges. This role requires a good understanding of AI and machine learning, as well as the ability to work effectively with cross-functional teams to deliver solutions that meet the needs of our customers. The AI Solution Manager will also be responsible for managing customer relationships and engagements during the program lifecycle, ensuring that our customers are satisfied with our solutions and that they are getting the most out of their AI investments while at the same time ensuring learnings are captured for product improvement.

The AI Solution Manager is responsible for overseeing the successful delivery of the defined solution to meet the customer's requirements within budget and on time, following ServiceNow's NowCreate methodology, and collaborating with the customer project team and partners. The AI Solution Manager ensures proper governance and support from team members, addressing risks and issues. They assemble and lead the ServiceNow resources, track progress, and manage any deviations.

Key responsibilities include:

  • Leading the delivery team, managing engagement governance, timeline, scope, risk, change management, resourcing, reporting, and financials. The AI Solution Manager also manages the business relationship with customers, providing regular updates to both customers and internal executive teams. They work with cross-functional projects, senior-level executives, and customers to deliver a unique customer experience.
  • The AI Solution Manager acts as a thought leader, guiding successful delivery and customer outcomes. They facilitate collaboration, decision-making, and customer buy-in for proposed solutions. Coaching and managing team members to enable achievement of engagement deliverables and desired business outcomes.
  • The AI Solution Manager manages multiple programs simultaneously, identifies gaps, proposes solutions, presents the value proposition to customers during and after the initiative, and actively facilitates capture of the best practices and learnings from both the customer and the internal project team

Qualifications

To be successful in this role you would have:

  • A blend of technical expertise, project management skills, and excellent communication abilities
  • 8+ years in Customer Engagement or Program management roles
  • Skills in business relationship management
  • Prior experience with implementing or supporting ServiceNow products in an Enterprise
  • Strong cross-functional, technical Program & Project Management experience
  • Leading key programs & projects, including strategic customer programs within a fast-paced environment
  • Ability to independently manage complex program objectives
  • Experience defining and capturing product requirements and collaborating with product teams
  • Excellent documentation and presentation skills
  • Ability to communicate abstract ideas clearly
  • Willingness to work hands-on for impactful outcomes
  • Experience with analytics and understanding of metrics and KPIs
  • Thought leadership, critical thinking, and strategic thinking
  • Ability to gather and analyze data to present decision options
  • Excellent negotiation and persuasion skills
  • Facilitation skills in leading meetings, reviews, retrospectives, and customer workshops
  • Strong customer orientation and the ability to anticipate and act
  • Deep curiosity about customer needs and building customer relationships
  • Demonstrated active listening and strong communication skills
  • Ability to collate feedback for new initiatives and areas of improvement
  • Quick learner with the ability to pick up tools, systems, processes and Stays up-to-date on the latest AI and machine learning trends
  • Strong prioritization skills to focus on high-impact activities
  • Interpersonal skills and customer-centric attitude
  • BS/BA degree in computer science, engineering, or related discipline preferred
  • Ability to travel up to 50%
  • Flexibility to work across global time zones

#Prodjobs

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+30d

Sr. Machine Learning Engineer - WFHMD - 153

Global InfoTek, Inc.Reston, VA - Remote
MLFull TimeRustBachelor's degreesqlDesignazurejavadockerkubernetespythonAWS

Global InfoTek, Inc. is hiring a Remote Sr. Machine Learning Engineer - WFHMD - 153

Clearance Level: Top Secret (TS/SCI Eligible)
US Citizenship: Required
Job Classification: Full Time
Location:Remote

Years of Experience: 7 - 10 years

Education Level: Bachelor's Degree or equivalent experience

What Makes this a Great Opportunity:

An exciting remote telework opportunity, to work as a Sr. Machine Learning (ML) Engineer who will be responsible for research, development, implementing, and deploying machine learning models and algorithms to solve a wide range of cyber analytical challenges. You will collaborate with cross-functional teams to identify opportunities for applying machine learning techniques, collect and preprocess data, design, and train models, and deploy solutions into production environments. This role offers an exciting opportunity to work with state-of-the-art technologies and make a significant impact in the field of machine learning. The selected candidate will join a small, talented, highly effective performing team providing and enhancing crucial cyber capabilities. Global InfoTek Inc., (GITI) is looking for a motivated, talented, and creative ML Engineer to join our team!

Position Description:

GITI is looking for a Machine Learning (ML) Engineer with documented expertise to be responsible for researching, developing, architecting, and integrating ML models, algorithms, tools, and techniques into existing or new environments. A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions. A candidate who will work with our data scientists to design, develop, and integrate ML models and algorithms to address specific problems, (e.g., classification, regression, clustering, recommendation systems, etc.), and introduce ML and pattern recognition to discover hidden insights. Successful candidates for this role must have critical thinking skills, be creative, curious, resourceful, and have a passion for conveying a wide range of information through research leading to deeper insights. The candidate may work independently but participate in project-wide reviews of requirements, system architecture, and detailed design documents. Our ML Engineer must collaborate well with a strong lean-forward attitude to shift knowledge left, deliver well, and produce quality results.

  • Ability/experience to research and develop algorithms to analyze structured cyber-security data, including supervised machine learning, entity resolution, classification, and the implementation of analytical algorithms on a distributed cloud-based infrastructure.
  • Assist and introduce ML and pattern recognition to discover hidden insights; architect and implement data processing, cleansing, and conducting data integrity and validation actions.
  • Exercise creativity in applying non-traditional approaches to the analysis of unstructured data in support of high-value use cases using multi-dimensional visualization.
  • Implement processing on high-volume, high-velocity data streams.
  • Requires strong technical and computational skills – engineering, physics, and mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced structured data analysis techniques and utilizing high-performance computing environments.
  • Can utilize advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex cyber-security data and deliver recommendations for business and analytic decisions.
  • Recommend and implement interactive reports, visual analytics, and dashboards focused primarily on understanding and using deep packet inspection of structured and unstructured collected digital data.
  • Work closely with data scientists, software developers, and project managers to understand requirements and identify opportunities for applying data analysis techniques.
  • Collect, preprocess, and analyze large datasets to extract meaningful insights and features for model training.
  • Collaborate with software developers to integrate data analytical solutions into production systems and applications.
  • Stay updated on the latest advancements in large data analytics and machine learning research and technologies and identify opportunities for innovation and improvement.
  • Demonstrate ability to research and apply new tools, techniques, and solution approaches. Continually learn and improve your skills through sharing with others and taking advantage of available training sources.

Required Skills:

  • Experience working with machine learning, data science, or related fields.
  • Experience working with cyber-security data.
  • Experience in statistical analysis and visualization of complex data.
  • An understanding and ability to implement data hygiene methods via ETL.
  • Ability to build upon previous analytics capabilities to enable more complex analysis of large datasets, including graphs to generate actionable intelligence.
  • Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
  • Hands-on experience with popular machine learning libraries and frameworks, (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, SciPy, etc.).
  • Experience with data processing and analysis tools, (e.g., Python, Sci-Kit, NumPy, SQL, Spark, etc.).
  • Excellent problem-solving and analytical skills, with a keen attention to detail.
  • Strong communication and collaboration skills, with the ability to independently or to work effectively in a team environment; the ability to quickly adapt to changing priorities/requirements.
  • Experience with network traffic inspection tools (e.g., Suricata, Arkime, Zeek, etc.).

Desired Skills:

  • Experience with Apache Spark, Apache Streaming, and Jupyter Hub+ Event Reporter to introduce ML and pattern recognition to discover hidden insights.
  • Working knowledge of networks, network traffic data, and virtual environments.
  • Experience with containerization (e.g., Docker, Kubernetes, Rancher, etc.).
  • Experience with ML methods (e.g., decision trees, neural networks, reinforcement learning, etc.).
  • An understanding and working knowledge to analyze and gain visibility to network metadata, and content, identify malicious code, anomaly detection, and potentially predictive analysis.
  • Working knowledge in programming languages, (e.g., Python, Rust, Go, Java, etc.).
  • Working knowledge with cloud computing platforms, (e.g., AWS, Azure, or Google Cloud, etc.).
  • Familiarity with big data technologies, (e.g., Elastic Search, Apache Hadoop, Spark, Kafka, etc.).
  • Experience deploying ML models in production environments using containerization technologies, (e.g., Docker, Kubernetes).
  • Publications or contributions to ML-related research projects or open-source initiatives.

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or based on disability.

About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.

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+30d

Staff Software Engineer - Inference

LambdaRemote (US & CAN)
MLLambdaDesignmetalc++kubernetespython

Lambda is hiring a Remote Staff Software Engineer - Inference

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

What You’ll Do

  • Help design, build and improve our new inference and ML computation platform, acting as technical lead for one or more of our implementation teams.
  • Work with management, product and other internal business partners to drive technical decisions based on business and market needs
  • Work on the architecture of our distributed systems to ensure best-in-class reliability and efficiency, while helping to minimize operational costs and toil work
  • Provide your team empathetic leadership as well as mentorship to grow their own skills and abilities
  • Build products around a large range of ML models and types, including industry-leading research
  • Help build safety and fraud systems, around both inference and other ML systems
  • Handle interesting and dynamic scaling, hardware and scheduling challenges in a very dynamic and rapidly changing industry sector

You

  • Are an experienced lead software engineer with ten or more years of working on business-critical distributed systems.
  • Have a history of leading projects from inception to production, including making technical decisions, authoring design and decision documents, and advising on staffing needs.
  • Have significant experience architecting systems around relational databases, document databases, queue datastores, block storage, object storage, unreliable networks, and caches.
  • Have a deep understanding of the balance between initial build costs and operational costs, and what it takes to launch a product quickly but with a good technical foundation.
  • Can write both Go and Python to a high level, and can pick up other languages as needed.
  • Are very familiar with building integrated test frameworks and using CI/CD systems
  • Are product-oriented and focused on great user experiences, and are invested in building the best product possible for users.
  • Are good at working cross-functionally and solving problems across teams, including empathetic conflict resolution when working alongside teams with different priorities.
  • Have recent team leadership experience (on a team of four or more people) 

Nice to Have

  • Experience writing Kubernetes operators or other Kubernetes integrations
  • Experience running ML/GPU workloads in production
  • Experience with computation dispatch and orchestration systems
  • Bare-metal hardware experience

Salary Range Information 

Based on market data and other factors, the salary range for this position is $186,000 - $294,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

  • We offer generous cash & equity compensation
  • Investors include Gradient Ventures, Google’s AI-focused venture fund
  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • We have a wildly talented team of 300, and growing fast
  • Health, dental, and vision coverage for you and your dependents
  • Commuter/Work from home stipends for select roles
  • 401k Plan with 2% company match
  • Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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