Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space. 

We are hiring an AI/Machine Learning Engineer to work on a pivotal Federal program that is making a positive impact on millions of Americans' daily lives. 

What you'll be doing:

As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions. You will collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products.

What you’ll bring:

• 7+ years of experience in software and machine learning engineering.
• 3+ years of experience leading cross-functional AI/ML teams.
• Strong knowledge of natural language processing (NLP) and transformer models.
• Proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Expertise in the end-to-end ML pipeline, including data processing, model training, serving, and monitoring.
• Experience in building scalable, cloud-based AI/ML solutions (AWS, GCP, or Azure).
• Understanding of ethics in AI, including bias mitigation, fairness, PII/PHI data and privacy concerns.
• Experience with fine-tuning pre-trained models for specific business use cases.
• Familiarity with MLOps best practices, including IaC, CI/CD for ML models, version control for data and models, and performance monitoring.
• Strong communication skills for interfacing with both technical and non-technical stakeholders.

Requirements:

• Must be a US Citizen and able to work domestically 
• Must be able to attain low-level security clearance 

Education:

Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.

Benefits:

• Fully remote
• Annual stipend
• Comprehensive Benefits Package
• Company Match 401(k) plan
• Flexible PTO, Paid Holidays

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:

Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hr@oddball.io 

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Compensation:

At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

United States Wage Range: $130,000 – $165,000

​​About the Role:

As a Lead Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply data science and machine learning techniques to improve our marketing, products and processes. You will partner cross-functionally with Analytics, Product, Marketing and Operations to run deep-dive analysis, and build data products. You will partner with analysts, machine learning engineers, and others to build and implement data products that help advance our mission to eliminate stigmas and break down barriers to healthcare access.

You’ll be a leader who has a passion for driving business impact through data science, has strong communication skills, and enjoys doing hands-on work with a deep and broad technical toolset. If you are excited about being part shaping the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you!

You Will:

• Provide technical guidance and thought leadership on data science methodologies, tools, and best practices
• Identify opportunities to apply data science and machine learning solutions across marketing and product, and operations
• Create data science roadmaps that accelerate hims & hers business goals
• Drive projects in areas like marketing optimization, customer segmentation, lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting
• Partner with engineers and business stakeholders to design, develop and deploy ML products end-to-end to drive business outcomes
• Empower the Data Science team through mentorship and collaborative efforts, actively pursuing opportunities to foster cross-team knowledge expansion and mentorship initiative

You Have:

• 10+ years working in Engineering and/or Data Science with a record of building ML models that have a measurable impact on the business
• The ability to deliver business impact in the context of ambiguity and evolving priorities to technical and non-technical stakeholders 
• Ability to develop technical roadmaps for solving complex business problems
• Excellent communication skills and ability to work effectively with both technical and non-technical partners
• Experience developing and putting models into production, while also owning and maintaining production models long-term
• Ability to manipulate large datasets with high dimensionality and complexity; proficiency in SQL and Python 
• Proficiency with ML tools such as pandas, sklearn, PyTorch, or TensorFlow
• MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related field

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

Counterpart Health: Value-based care, at the point of care.

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes for patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.

Our UX Designers thrive on solving hard problems. We deliver products and experiences by combining personal care with modern technology to give people the healthcare they deserve. We work closely to define emerging patterns, interactions, and visual systems from the ground up to solve problems that haven’t been solved yet. It’s an opportunity to not only design better healthcare software, but to design a whole new way to work.

We are seeking a talented and experienced Staff UX Designer to join our team and lead impactful design initiatives across our product suite. As a key member of the design leadership team, you will shape the quality of the user experience, collaborating closely with cross-functional teams to ensure our products are intuitive, user-centered, and aligned with business goals. You will be responsible for solving complex design challenges, elevating design quality by mentoring other designers, and driving a user-first mindset throughout the organization.

If you are a design leader who thrives in a fast-paced, outcome-driven environment and has a passion for creating products that make a meaningful impact, we would love to meet you!

 As a Staff UX Designer, you will:

• Provide leadership in introducing consumer-level experiences into the enterprise healthcare space, setting a new standard for design quality with a refined sense of taste.
• Lead the exploration and solutioning of undefined problem areas, driving innovation to tackle complex user and business challenges.
• Own and lead large-scale design projects, utilizing rapid prototyping and fast learning cycles to deliver impactful, scalable solutions.
• Bring differentiated expertise to elevate the overall design quality and introduce breakthrough experiences, pushing the team toward new levels of excellence.
• Establish yourself as a design leader by demonstrating mastery, strategic thinking, and confidence in making intelligent design decisions.
• Champion design excellence and innovation throughout the organization, influencing cross-functional teams and setting the standard for high-impact solutions.

  Success in this role looks like:

• In the first 90 days, you have partnered with senior engineering to deliver multiple prototype iterations, which are now actively in the hands of end users. You have dramatically elevated the user experience and are setting a new benchmark for design excellence. Your deep collaboration with leadership and data science teams has been essential in weaving ML features into the design and breaking new ground.
• By six months, you have seamlessly integrated next-gen design patterns into the workflows of other designers and PMs. You’ve also incorporated these patterns and improvements into the Design System as a member of the Design System Team, while retiring or updating outdated patterns. You are now balancing the fine-tuning of next-gen experiences with launching new, high-impact projects, demonstrating your strategic vision and agility across the organization.
• Long term, you continue to lead groundbreaking exploration projects with substantial potential. You are working collaboratively with senior leadership and data science teams to drive strategic design advancements. As a key player in the Design System, you are elevating design quality, consistently pushing the envelope and setting new standards for excellence.

  You should get in touch if:

• You have 7+ years of in-house design experience, including working autonomously with senior technical teams and integrating complex features like ML to deliver consumer-level, best-in-class experiences.
• You have a portfolio that demonstrates industry mastery (healthcare experience is a plus but not required), showcasing advanced expertise in interaction and visual design, with a track record of creating outstanding, next-level user experiences.
• You possess strategic thinking skills and have experience leading early-stage exploration projects with high-value potential, showcasing your ability to drive impactful design innovations.
• You have a proven track record of managing and reconciling conflicting stakeholder feedback, resulting in cohesive and innovative design solutions.
• You are adept at working with design systems, with experience in contributing to and maintaining high-quality, scalable design standards.
• You are a natural leader who thrives on sharing your knowledge with others, helping to elevate the design capabilities of your team.

Benefits Overview: 

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

#LI-Remote

About Clover:We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

????Cardiff, London, or Remote UK  | Salary £140-£175,000 + stocks + benefits | Hear from the team ✨ 

About our Machine Learning Team:

At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. 

Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling.

What you’ll be working on:

As a Senior Lead ML Scientist, you’ll be the one of the most senior Individual Contributor (IC) Machine Learning Scientist! This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like personalisation, demand forecasting, workforce management, detection systems.

We’re talking about Deep Learning, Graph neural networks, transformers – you’ll have space to design the architecture that will help us take our real time systems to the next level.

Your day-to-day

As our most senior technical IC, you’ll be providing key technical leadership and shipping highly impactful ML-based solutions. You’ll be empowered to work across the collective identifying the most impactful areas and leading solution development.

You’ll work with our mission-oriented cross functional product squads, collaborating closely with product managers, data scientists, backend engineers and designers in an agile environment.

You’ll be expected to use your technical expertise to advise senior business stakeholders and help to set and advance our strategic direction across multiple squads.

You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards.

This will involve:

• Working with stakeholders across the organisation to identify and scope out the most impactful opportunities to tackle product challenges with Machine Learning.
• Bringing the learnings from your previous successes in designing and building advanced Machine Learning systems to lead advancements in our product development capabilities, for example utilising deep learning, graph-based, and sequence-based architectures.
• Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
• Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

You should apply if:

What we’re doing here at Monzo excites you!

• You have a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast moving tech company
• You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
• You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team.
• You have a self-starter mindset; you proactively identify the most impactful issues and opportunities and tackle them without being told to do so
• Using advanced machine learning techniques to minimise financial crime and protect customers from fraud sounds exciting to you
• You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices
• you’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
• You’re adaptable, curious and enjoy learning new technologies and ideas

The interview process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call
• 45 minute call with hiring manager
• 4 x 1-hour video calls with various team members

Our average process takes around 3-4 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. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

What’s in it for you:

✈️ We can help you relocate to the UK

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ 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

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-REMOTE #LI-NJ1

Company Overview:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview:

You will play a foundational role in the development of an industry-leading solution that harnesses clinical expertise and AI / ML to enhance acute inpatient utilization management clinical review quality and efficiency. You will apply your clinical expertise to audit acute inpatient authorizations to validate the appropriate level of care, synthesize audit patterns, and help design automation algorithms.

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do:

• Audit acute inpatient authorizations for unplanned admissions (including authorization data, clinical records, evidence-based guidelines, and nurse clinical review documentation) to validate the appropriate level of care, with a keen focus on quality
• Synthesize patterns across audits and identify opportunities for clinical review automation
• Help build presentations summarizing audit results for internal and external communication 
• Collaborate with cross-functional teams to develop clinical review automation algorithms
• Help evaluate performance of clinical review automation algorithms 

Your background & requirements:

• Registered Nurse (RN), associate or bachelor’s degree
• Top performer with 10+ years of experience conducting payer utilization management clinical reviews or audits for acute inpatient authorizations for unplanned admissions
• Deep understanding of payer end-to-end acute inpatient authorization processes, including policies and procedures (e.g., CMS 2 midnight rule, MCG / Interqual guidelines)
• Independent, objective thinker that doesn’t just take things at face value 
• Extremely diligent with an absolute focus on quality
• Adept at analyzing data to help solve problems  
• Values simplicity; adept at distilling complex clinical concepts into comprehensive, clear, and actionable frameworks
• Passion for and conceptual understanding of how AI / ML can be used to optimize UM
• Natural inclination to look for ways to improve the status quo
• Proficient in key applications (e.g., clinical review apps, spreadsheets, document processors)

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

This is a temporary contract position and the pay rate for this position is $50 to $60 per hour. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

#LI-Remote

#BI-Remote

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Team Luna is Rocket Money’s growth engineering team. From the moment someone first hears about Rocket Money, through their first few days of using the platform, our code makes sure that a user’s first interactions are seamless, valuable, and delightful. We work closely with product, marketing, and data teams on tools and integrations that help us understand our users and drive favorable business outcomes like increased retention, engagement, and ROAS (return on ad spend).

Some of the things we regularly tackle include:

• Coding out experiences across web and mobile through a uniquely iterative, data-driven development process.
• Owning the systems that quickly and reliably bring data into the hands of automated systems, ML models, and decision-makers.
• Helping other dev teams understand and leverage our marketing and analytics stacks.
• Integrating a wide range of products to surface insights about user analytics, attribution, engagement, retention, and satisfaction.
• Leading investments into the the tooling and developer experience of Rocket Money’s technical platform.

ABOUT  YOU????

• You have an entrepreneurial spirit, and are excited to use your technical skills to positively impact business outcomes alongside user privacy and experiences.
• You have experience working with some combination of Node/TypeScript, React (or similar framework), GraphQL, and Postgres (or similar relational database).
• You enjoy working within cross-functional groups spanning marketing, data, and finance.
• Nice-to-have: you have experience with growth/marketing engineering, working with tools like MMPs (eg Singular), analytics eventing and data engineering (eg Segment, GTM/GA, Fivetran), BI tools (eg Amplitude, Looker), and/or CRMs (eg Braze).
• You write clean, reliable code across a variety of platforms.

WE OFFER ????

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

????Location | ???? £85-110,000 + Benefits | Hear from the team ✨

About our Machine Learning FinCrime Team:

Our Financial Crime Data team consists of over 25 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll be working in a fast moving environment, building and iterating on our financial crime defensive capabilities to ensure we keep Monzo and our customers safe. 

Our financial crime team has a large impact on Monzo’s bottom line as fraud and scams are usually some of the largest cost line items in a bank's P&L. We have a major influence on the overall customer experience and it’s our duty to keep our customers safe. The work we do results in directly measurable customer or company benefit, which is incredibly satisfying.

Our Machine Learning Scientists work on a range of problems within the different financial crime areas ranging from fraud detection and prevention, transaction monitoring for different types of suspicious activity through to customer risk assessment and operational tooling.

What you’ll be working on: 

A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position. As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we’ll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models to: 

• Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs
• Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. 

The technical approaches you take to help solve these problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation. We’ll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs.

Your day-to-day:   

As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML-based solutions. You’ll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards. 

This will involve:

• Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning.
• Leading the design and development of advanced real time Machine Learning models, for example exploring how neural network, graph-based, and sequence-based architectures can drive improvements in detection of financial crime.
• Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
• Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

You should apply if:
What we’re doing here at Monzo excites you!

• You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company
• You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact
• You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• Reducing financial crime and protecting customers with data driven strategies sounds exciting to you
• You have extensive experience writing production Python code and a strong command of SQL.  You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices 
• you’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
• You’re adaptable, curious and enjoy learning new technologies and ideas

Nice to haves:

• Experience working with financial crime and in regulated institutions
• Commercial experience writing critical production code and working with microservices

The interview process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute call with hiring manager 
• 1 take home task 
• 3 x 1-hour video calls with various team members

Our average process takes around 3-4 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. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

Our average process takes around 3-4 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

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ 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 training courses and conferences

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

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance

#LI-REMOTE #LI-NJ1

What you’ll do  

• Lead the Design and Implementation: Using modern data architecture principles, architect and implement cutting-edge data processing platforms and enterprise-wide data solutions. 
• Scale Data Platform: Develop a scalable Platform for optimal data extraction, transformation, and loading from various sources, ensuring data integrity and accessibility. 
• AI / ML platform: Design and build scalable AI and ML platforms to support Transcarent use cases.  
• Collaborate Across Teams: Partner with Executive, Product, Clinical, Data, and Design teams to meet their data infrastructure needs, supporting them with technical expertise. 
• Optimize Data Pipelines: Build and optimize complex data pipelines, ensuring high performance, reliability, and scalability. 
• Innovate and Automate: Create and maintain data tools and pipelines that empower analytics, data science, and other teams to drive innovation and operational excellence. 
• Mentor and Lead: Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement. 

What we’re looking for:  

• Experienced: 10+ years of experience in data engineering with a strong background in building and scaling data architectures in complex environments. Healthcare experience is a plus. 
• Technical Expertise: Advanced working knowledge of SQL, relational databases, and big data tools (e.g., Spark, Kafka). Proficient in cloud-based data warehousing (e.g., Snowflake) and cloud services (e.g., AWS). Proficient in understanding of AI / ML workflows, etc., 
• Architectural Visionary: Demonstrated experience in service-oriented and event-based architecture with strong API development skills. 
• Problem Solver: Ability to manage and optimize processes supporting data transformation, metadata management, and workload management. 
• Collaborative Leader: Strong communication skills with the ability to present ideas clearly and lead cross-functional teams effectively. 
• Project Management: Strong project management and organizational skills, capable of leading multiple projects simultaneously. 

Nice to have: 

• Preferred tech stack: 
  • Data Platforms: Experience with building Data-as-a-Service platforms and API development. 
  • Programming Languages: Proficient in object-oriented scripting languages such as Python, Java, C++, Scala, etc. 
  • Big Data Tools: Expertise with tools like Spark, Kafka, and stream-processing systems like Storm or Spark-Streaming. 
  • Cloud Services: In-depth experience with AWS services (EC2, EMR, RDS, Redshift) and workflow management tools like Airflow. 

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

As a Data Scientist/MLE at IAS, you will be part of a team that is a center of innovation for the company and a major contributor to the company's core products. The Lead Data Scientist will work on challenging technical problems in brand safety, developing and pushing out ML/DL models at scale that classify brand unsafe material for multiple modalities across the digital ecosystem. The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, including machine learning, computer science, finance, physics, biology, neuroscience, and economics. We're passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.

The ideal candidate has a track record of delivering deep learning based models at scale, enjoys working with cross functional partners from Product and Engineering delivering solutions within strict timelines, and brings innovative solutions to complex problems with a desire to improve the status quo. Additionally, as an early member of our Dublin location, you will also have the opportunity to help build the team from the ground up and shape the office culture.

What you’ll get to do:

• Scope work and projects in the realm of machine learning, focusing on deep learning applications in image/video classification.
• Work with a variety of data sources to build production-ready ML models
• Apply machine learning to novel problems in online advertising 
• Collaborate with engineers to integrate solutions within larger engineering workflows 
• Effectively communicate results from ML/DL models and statistical learnings to a variety of stakeholders within R&D and product organizations
  
  

What you’ll need:

• Advanced degree (MSc, PhD preferred) in a relevant technical field (machine learning, computer science, computer vision, etc)
• Solid research background and experience in computer vision, machine learning, and image/video analysis algorithms.
• 7+ years industry experience, with technical leadership, and experience guiding ML projects from start to finish
• Experience with at least one scripting language such as Python and with deep learning frameworks (tensorflow, pytorch, caffe, etc)
• Familiarity with relational databases and SQL
• Experience with source control workflows and deploying ML models in production
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Experience distilling product requirements into problem definitions, dealing with ambiguity and competing objectives
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

What puts you over the top:

• Practical experience with image/video classification, object detection, speech recognition, machine translation, and similar problems. 
• Publication record in deep learning / neural networks or adjacent fields 
• Experience working with distributed computing tools (Hadoop, Spark, Hive, etc.) and cloud platforms (AWS, GCP)

About Integral Ad Science

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.

To learn more about us, please visithttp://integralads.com/ 

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.

#LI-Hybrid

Overview

About the Role - Are you excited about cutting-edge distributed systems, data technologies, ML infrastructure, and scalable designs? Are you inspired by delivering concrete impact to tens of millions of users and partners, while solving some of the toughest technical challenges in a 4-sided marketplace?  Are you passionate about mentoring and growing engineering talent, while instilling and fostering a principled engineering culture?  If so, we have a job for you!  The Ads Engineering team is looking for a seasoned engineering leader to act as the Area Tech Lead of Infrastructure and Systems, reporting directly to the Ads VP of Engineering.  In this role, you will directly contribute to the team’s myriad infrastructure/system innovations, both as an Individual Contributor and as a Tech Lead.  You will lead the team to design a next-generation serving and quality stack that supports the business’ broadening growth.  You will partner with Eng and PM Directors to prioritize and support all product needs.  You will develop company-defining collaborations with other engineering teams across Instacart.  You will grow and mentor engineers, and contribute to shaping engineering culture not only for Ads but for all of Instacart Engineering.

About the Team - The Ads Engineering team builds E2E, full-stack systems to power Instacart’s industry-leading ads innovations in digital ads’ top growing channel - Retail Media. As a fast-growing, critical piece of Instacart’s overall business, the Ads Engineering team strives to both meet and support our advertiser partners for their needs today, while also challenging the status quo to push forward next-generation technologies.  The team consists of a broad spectrum of engineers across all levels, with expertise ranging from backend infrastructure to data engineering to machine learning to frontend technologies and more.

About the Job 

• Leads, solves, and builds system innovations to solve some of the most challenging and interesting technical problems.  Some examples:
• ads serving and indexing systems with rigorous scaling, availability, and latency constraints, that can scale horizontally to billions of product items,
• infrastructure to rank heterogeneous content with cutting-edge ML models,
• data systems and products that process and move billions of events every day, and that power not just Instacart but hundreds of other retailer partners, and
• workflow orchestration that advances the state of the art in scale, correctness, and developer velocity.
• Establishes Ads’ tech strategy and roadmap, balancing between both short-term needs and long-term sustainability.
• Fosters a thriving engineering culture, including running and improving key engineering processes and providing technical leadership and oversight.
• Grows and mentors engineering talent; identifies and develops the next set of leaders.
• Builds and maintains synergies with other engineering teams across Instacart; acts as a bridge to represent Ads in company-wide engineering forums and activities.
• Contributes to company-level tech initiatives as one of the company’s most senior engineering leaders.
• Note this is a hands-on IC / TL role at the Director+ level.  There are no people management expectations.

About You

Minimum Qualifications

• 10+ years of experience building and leading systems engineering.
• Deep expertise in infrastructure and systems technologies.
• Ability to effectively communicate and collaborate at the most senior engineering levels.
• Proven track record of growing engineering culture and talent.

Preferred Qualifications

• Experience and expertise with data engineering, ML infrastructure, large-scale distributed systems, and/or Ads technologies.
• Experience with scalable, customizable service architectures.
• Familiar with AWS, Golang, Spark, Clickhouse, Snowflake, TensorFlow.

Your impact

At Handshake, we are assembling a diverse team of dynamic engineers who are passionate about creating high-quality, impactful products. As an ML Infrastructure Engineer, you will play a key role in driving the architecture, implementation, and evolution of our rapidly growing Machine Learning platform. Your technical expertise and leadership will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources.

Our primary focus is on building scalable ML infrastructure that empowers our Machine Learning and Relevance teams to iterate quickly and rapidly deploy ML solutions into various surfaces in our product stack.

Your experience

• Strong software engineering foundations:Experience with object-oriented and functional programming languages in production (Python, Golang), software design patterns, testing strategies and dev/ops practices (CI/CD). 
• Cloud platform expertise: Hands-on experience with cloud-based technologies. This includes tools like BigQuery, Cloud Storage, infrastructure-as-code tooling (Terraform) and an ML stack (Vertex, SageMaker, Ray, or similar) for handling machine learning workflows.
• ML aptitude:Experience building product features with ML frameworks like Scikit-Learn, PyTorch, TensorFlow and big data tooling like Spark.
• Problem-solving prowess: Outstanding problem-solving skills, with the ability to navigate complex machine learning infrastructure challenges and propose innovative, effective solutions.
• Teamwork oriented: A collaborative approach to work, coupled with the ability to communicate complex machine learning concepts effectively to both technical and non-technical stakeholders, and take input from Relevance stakeholders to guide implementation details.

Bonus areas of expertise

• ML infrastructure experience: Experience designing, implementing, and managing components of production ML infrastructure including:
  • • Real-time/batch ML model prediction and inference
    • Cluster management and deployment, deployment of GPU based training jobs
    • Familiarity with vector search tooling (Elasticsearch, Pinecone, etc…)
    • Creating or developing Feature Store components (offline/online stores and feature registry technologies)
    • Building ML search or ML recommendations systems
• Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes.
• Generative AI (LLMs): Familiarity working with large language models such as ChatGPT, LLaMa, or Bard for text generation and Natural Language Processing (NLP) tasks.
• Streaming data processing: Experience with streaming data processing platforms such as Apache Beam or Apache Flink 

Compensation range

$150,000-$190,000

Overview

About the Role:As a Staff Machine Learning Engineer, you will utilize your extensive technical knowledge to address and solve critical, complex issues in our marketplace systems. You will apply machine learning to create and optimize solutions in impactful areas such as routing optimization, pricing, dispatch and mapping. You will be at the forefront of initiatives, overseeing them from the initial concept stage all the way through to prototyping and implementation, in addition to conducting experiments.

About the Team:The Logistics & ML group is responsible for the intelligence and execution behind Instacart’s fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.

About the Job:

• Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
• Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
• Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
• Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.

About You

Minimum Qualifications:

• Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience 
• Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
• Have strong analytical skills and problem-solving ability
• Are a strong communicator who can collaborate with diverse stakeholders across all levels

Preferred Qualifications:

• Have 6+ years of industry experience using machine learning to solve real-world problems with large datasets
• Knowledge of deep learning frameworks and methodologies
• Experience in applying machine learning and optimization techniques to solve marketplace problems
• Proven track record as a tech lead or team leader, managing and driving forward complex, cross-functional initiatives involving multiple stakeholders