Overview

About the Role 

You will be joining a dynamic team consisting of manual and automation test engineers working on cutting-edge technology. You will be instrumental in building and maintaining automation frameworks across all of our products. You will be Identifying a variety of automation tools and evaluating which brings the most value for our products not only from a software perspective but also from a hardware perspective. You will be a key player in laying down our foundational building blocks to increase our automation coverage and streamline our continuous integration process to achieve quicker release cycles. You will establish best practices and standards throughout our QA department. You will closely collaborate, actively participate, and have a voice on our team to ensure our products are delivered with the highest quality possible.

About the Team 

Caper is one of the critical pillars of Instacart’s new Connected Store technology. Caper offers smart shopping carts powered by deep learning and computer vision to enable a seamless grab-and-go retail experience.

About the Job 

• Spearhead the development of automated functional integration tests and E2E tests across all our products utilizing open-source test frameworks.
• A Hands-on self-motivated engineer capable of working collaboratively in building a continuous integration environment. 
• Perform complex database queries and manipulations for test, staging, etc.
• Perform functional, regression, integration, smoke, E2E, load and performance testing.
• Assist with manual testing as needed.
• Develop trained data, test data, and model validations for machine learning tests.
• Will work closely with engineering, product management, cross-department partner teams within an Agile environment using JIRA as our backbone for collaboration.
• Be a strong voice of reason exercising clear judgment making data-informed decisions in order to improve and maintain the utmost quality within our products.
• Daily “bug hunting” – always on the lookout for defects, usability improvements, cosmetic “eye sores”, etc. and properly track them for resolution.

About You

Minimum Qualifications

• Bachelor’s degree in Computer Science or equivalent experience.
• 5+ years of working as a SDET/SDE, with 3+ years in a leading role and/or independent contributor.
• Minimum 3-year experience with automation tools such as Appium, Expresso Selenium, Selendroid (or similar for Android app test automation).
• Minimum 3-year experience with IntelliJ, TestNG, and Jenkins.
• Must have built an automation framework from scratch.
• Experience programming with Java,  Python, shell and/or C++.
• Experience interacting with RESTful API and skilled in Rest Assured, Postman (or similar)
• Experience with System Design.
• Experience working with MongoDB and MySQL.
• Solid understanding of GIT.
• Strong analytical skills, self-motivation, attention to detail and leadership ability.

Preferred Qualifications

• Experience automating tests for android applications, Web Applications & Services.
• Experience in establishing and maintaining full CI/CD pipelines.
• Experience with Gitlab.
• Knowledge of basic software engineering practices surrounding coding standards, code reviews, source control management, build process, and test.
• Experience with AI and ML test principles and strategies.
• Exposure to GCP and microservices.
• Familiar with JIRA and TestRail.
• Highly effective communication, both oral and written.

Overview

About the Role - We are seeking a Shopper Product Manager to own the vision and execution of how we give shoppers and customers fair and efficient resolutions when orders do not go to plan. You will own the customer experiences, intelligent systems, and supporting workflows that allow us to act on customer order issues and optimize appeasement and refund spend each year. 

About the Team -The Shopper Team provides high quality, fast, and reliable fulfillment for Customers, creates competitive and reliable earnings opportunities for Shoppers, and enables omni-channel, flexible and efficient fulfillment services for our retail partners. We work closely with engineering, machine learning, operations, design data science, research and cross functional teams across the company, to deliver a growing range of high quality products and solutions. 

About the Job 

• Lead a cross-functional team of engineering, machine learning, data science, operations, design, research, marketing, and more
• Drive product definition, strategy, and long term vision for initiatives across shoppers, customers and retailers
• Identify the biggest problems and drive new feature development from start to finish
• Run user research, usability studies, data-driven experiments to inform product direction
• Work closely with Customer Support org to improve the support experience across our marketplace
• Partner with Engineering, Machine Learning, Design and Data Science teams to build, experiment, iterate and launch product features and optimization models that can strike the right balance between efficiency and user experience in key areas such as chat automation and appeasements
• Consistently integrate behavior data and customer feedback into key product decisions
• Communicate product plans, benefits and results to all audiences - within teams, company, to users, press etc.

About You

Minimum Qualifications

• Proven track record of delivering impactful consumer products, leveraging data and user experience considerations
• Demonstrated ability to solve complex problems involving nuanced tradeoffs by crafting data informed solutions and thinking from first principles
• Experience partnering deeply with partners across different functions such as Operations, Machine Learning and Business Development
• Demonstrated ability to balance short term execution with long term strategy

Preferred Qualifications

• Experience in ecommerce or marketplaces
• Experience partnering with ML, leveraging LLMs
• Experience in building and executing on multi-year strategy

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the microphone and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that’s work worth doing. 

Applied Scientist II

Why We Have This Role

We are looking for talented and innovative Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D and strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.

As a Machine Learning Applied Scientist at Qualtrics, you should love building cutting-edge predictive models to solve hard customer problems. Crafting models in an agile environment to withstand hyper growth and owning quality from end-to-end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!

How You’ll Find Success

• Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning.
• Use your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems.
• Develop and optimize algorithms for building scalable and efficient GenAI applications.
• Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation.
• Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development.
• Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.

How You’ll Grow

• Passion for leveraging cutting-edge AI technology to create innovative GenAI applications that have a meaningful impact on businesses, industries, and society.
• Commitment to developing GenAI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks.
• Drive to push the boundaries of what's possible with AI, and to contribute to the advancement of the field through research, experimentation, and collaboration.
• Willingness to stay updated with the latest advancements in AI research and technology, and to continuously learn and adapt to new methodologies and best practices.
• Agility to pivot and iterate on GenAI applications based on feedback, emerging trends, and changing business requirements.

Things You’ll Do

• Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business
• Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community
• Work closely with, and incorporate feedback from other specialists, engineers, and product managers
• Lead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity

What We’re Looking For On Your Resume

• Bachelors in Computer Science or related fields
• Solid understanding of machine learning fundamentals and tool ecosystem
• 2+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
• Deep learning implementation expertise (TensorFlow, PyTorch etc)
• Excellent command of at least one modern programming language (preferably Python)
• Graduate degree in computer science or related fields
• Deep understanding of machine learning model life cycle management
• Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.
• Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning
• Comfortable working in a fast paced, highly collaborative, dynamic work environment.
• Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks  (e.g. TensorFlow, PyTorch, MXNet etc) 
• Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)

What You Should Know About This Team

The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.

We identify business needs and define strategies where Qualtrics can most benefit from AI technologies. We stay on top of the latest AI technologies and apply the state of the art to customer business problems. We conduct ML modeling with deep expertise and rigor, including model selection, training, fine-tuning, customization, explainability, and evaluation. 

Our Team’s Favorite Perks and Benefits

• QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team. 
• Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.

The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. 

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

Qualtrics Work Experience - As we look to the future, we believe that our teams are better together. Being together will help us learn more, grow faster and ultimately deliver better results for our customers and Qualtrics. Roles tied to an office location work 4 days per week in the office together and 1 day from home, with a strong spirit of flexibility around taking time for personal, health, and family moments in our work weeks. Our managers work with their teams to create a collaborative, engaged work environment, and arrangement that works for each of our team members.

Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in Germany, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The opportunity 

To achieve our ambitious objectives, we are seeking an Engineering Manager to lead, scale, mentor, and drive our Data Engineering Team. This individual will be responsible for guiding a skilled team of software engineers who are focused on constructing analytical data models, pipelines, and innovative tools. They will collaborate with various teams across the company.

This person will be an integral part of the larger data organization, reporting directly to the Director of Data Engineering based in the US, and they’ll have the opportunity to influence decisions and the direction of our overall data platform, including infrastructure and analytics engineering.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As the Manager of the Data Engineering team, you will co-own the company-wide data lake and set the vision for data schemas, analytical tooling, and pipelines. Our cutting-edge data lake is the central hub for all data producers and consumers, and your impact will span all of Grammarly.

Data engineers make disparate data centrally available to Grammarly’s team members while ensuring query efficiency and efficacy. Your team will support all of Grammarly’s functions to help us successfully operate three lines of business: individual consumers, enterprise, and Grammarly’’s developer platform. Communication, stakeholder management, and a passion for data will be the backbone of Grammarly’s Data Engineering Manager’s success.

In this role, you will:

• Build a highly specialized engineering team to support the growing needs and complexity of our product and business organizations. 
• Oversee the maintenance and enhancement of our data lake, ensuring it meets the needs of all data producers and consumers.
• Drive the implementation of robust data pipelines to ensure data is accurate, accessible, and up-to-date.
• Foster a collaborative and high-performance culture within the team.
• Set technical vision for the team and ensure the scalability, low cost, low latency, and versatility of our internal analytics platform.
• Provide hands-on guidance in coding, design, and debugging to ensure high-quality technical solutions.
• Build strong relationships with all of Grammarly’s functions to generalize data needs and guide the roadmaps of our internal platforms.
• Work closely with partner teams, including Data Science, ML, and Analytics Engineering, to align priorities and deliver integrated solutions.
• Stay up-to-date with industry trends and best practices in data engineering, fostering a culture of continuous improvement and innovation.
• Cultivate an ownership mindset and culture on your team and across product teams: provide the necessary metrics to help us understand what is working, what is not, and how to fix it.
• Set high performance and quality standards and coach team members to meet them; mentor and grow junior and senior IC talent.

Qualifications

• Has 7+ years of experience in data engineering, with at least 3 years in a leadership or managerial role.
• Fluent in data engineering technologies and languages like SQL, Python, Spark, and data pipeline frameworks.
• Demonstrates ability to lead and mentor a team. Strong project management skills and a track record of delivering complex projects.
• Has excellent analytical and problem-solving skills. Ability to dive deep into technical issues and provide effective solutions.
• Is able to guide the team to build optimal data models and efficiently utilize our data infrastructure.
• Has strong communication and interpersonal skills. Experience working in a collaborative, cross-functional environment, including with remote teams.
• Has the ability and desire to operate in a fast-paced, dynamic environment where things change quickly.
• Leads by setting well-understood goals and sharing the appropriate level of context for maximum autonomy but is also deeply technical and can dive in to help when necessary.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Support for you, professionally and personally

• Professional growth:We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
• A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs. 
• Comprehensive benefits for candidates based in Germany:Grammarly offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here. 

#LI-AD3

About the Role:

Gusto is seeking a Senior Engineering Leader to drive and execute the cross-functional strategy for our User-Facing Reporting and Analytics team. In this role, you will be responsible for managing user reporting, analytics, and providing users with the data they need in the format they require across the platform.

About the Team:

This team plays a critical role in ensuring the ease of use, efficiency and quality of data, reports rendered to meet customer needs. Their primary focus is on designing, implementing, and maintaining a robust reporting platform.

Here’s what you’ll do day-to-day:

• Lead Gusto’s Reporting engineering team, including the recruitment, hiring, and empowerment of a world-class team
• In this position, you will be responsible for building scalable user facing reports and dashboard platform while  maintaining our data infrastructure, ensuring data quality, integrity, and accuracy
• You will work cross-functionally with engineering, product, design, and stakeholder teams to lead various initiatives to advance our data and reporting solutions
• You will leverage our data to identify key insights and create operational efficiencies, as well as produce accurate and meaningful analysis to drive business decisions
• Build, develop, and maintain data models, automated reports, and dashboards using BI/Dashboarding tools such as PowerBI, ServiceNow, Tableau, and Salesforce
• Meet with stakeholders from business and engineering to understand OKR requirements and convert them into analytical solutions
• Analyze datasets to discover meaningful patterns, trends, and relationships to improve operational and productivity across our organization
• Refine, enhance, and automate processes and reports by managing tables/views and data pipelines
• Responsible for driving the development of product and core platform in a fast paced, start-up environment
• Providing technical leadership in defining the product and platform solutions
• Understand customer pain points, devise solutions, and then iterate through prototyping and frequent, successful product launches.
• Work cross functionally with design leadership and product management leadership to build and drive Gusto’s access and workflow product vision and strategy
• Empowering a team of senior engineers, operating in architects capacity and also engineering people empowerers (managers, creating alignment, clarity, high morale, driving quick but informed decision making, and helping them get unblocked

Here’s what we're looking for:

• 10+ years of software engineering experience
• 5+ years of managing highly distributed engineering teams, and at least 2 years leading other engineering managers 
• 6+ years of experience working with analytical tools and languages such as SQL,PowerBI/Tableau, Suplari, Coupa Analytics or Databricks
• Experience with ELT data modeling and building analytical narratives using data visualizations
• Experience with MLOps tooling such as KubeFlow, AWS Sagemaker, MLFlow, or other ML Ops tools
• Experience in scaling engineering organizations with a focus on individual and team development
• Ability to balance business needs, development for multiple product lines, and shipping high quality solutions
• Experience in highly cross-functional environments for highly complex products preferred
• Strong technical acumen with the ability to understand and debate tradeoffs and approaches to building scalable architecture and data models A high standard, systems-first approach, and strong point of view for the user experience informed by customer empathy, research, data, and customer support insights
• Strong product opinions, including the ability to tell a story about where we’re going that is clear and inspiring, and work with teams to map dependencies, risks, and tradeoffs to increase velocity and make the vision real
• Sharp skills as a builder — even as you’ve become a strategic leader, you are fundamentally a builder who can jump into problem solving with team members when they need the support

Our cash compensation amount for this role is targeted at $191,000-$237,000 in Denver, $208,000-$258,000 in most remote locations, and $225,000-$279,000 for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Company Overview

Totango + Catalyst have joined forces to build a leading customer growth platform that helps businesses protect and grow their revenue. Built by an experienced team of industry leaders, our software integrates with all the tools CS teams already use to provide one centralized view of customer data.  Our modern and intuitive dashboards help CS leaders develop impactful workflows and take the right actions to understand health, prevent churn, increase adoption, and drive expansion.

Position Overview

Insights and intelligence are the cornerstones of our product offering. We ingest and process massive amounts of data from a variety of sources to help our users understand the overall health of their customers at each stage of their journey.  As a Senior Data Engineer, you will be directly responsible for designing and implementing the next-generation data architecture leveraging technologies such as Databricks, TiDB, and Kafka.

This role is open to remote work anywhere within Canada and the U.S.

What You’ll Do 

• Drive high impact, cross-functional data engineering projects built on top of a modern, best-in-class data stack, working with a variety of open source and Cloud technologies
• Solve interesting and unique data problems at high volume and large scale  
• Build and optimize the performance of batch, stream, and queue-based solutions including Kafka and Apache Spark
• Collaborate with stakeholders from different teams to drive forward the data roadmap
• Implement data retention, security and governance standards
• Work with all engineering teams to help drive best practices for ownership and self-serve data processing
• Support and expand standards, guidelines, tooling and best practices for data engineering at Catalyst
• Support other data engineers in delivering our critical pipelines
• Focus on data quality, cost effective scalability, and distributed system reliability and establish automated mechanisms
• Work cross functionally with application engineers, SRE, product, data analysts, data scientists, or ML engineers

What You’ll Need

• 3+ years of experience successfully implementing modern data architectures
• Strong Project Management skills
• Demonstrated experience implementing ETL pipelines with Spark (we use Pyspark)
• Proficiency in Python, SQL and/or other modern programming language
• Deep understanding of SQL/New SQL with relational data stores such as Postgres/MySQL
• A strong desire to show ownership of problems you identify
• Experience with modern Data Warehouses and Lakes such as Redshift, Snowflake, and Databricks Delta Lake
• Experience with distributed streaming tools like Kafka and Spark Structured Streaming
• Familiarity with an orchestration tool such as Airflow, dbt, and Delta Live tables
• Experience with automated testing for distributed systems (unit testing, E2E testing, QA, data expectation monitoring)
• Experience working with application engineers, product, and data scientists
• Experience with leveraging caching for performance using data stores such as Redis and ElasticSearch
• Experience with maintaining and scaling heterogeneous and large volumes of data in production
• Practical experience with DevOps best practices (CICD, IAC) is a plus
• Familiarity with Change Data Capture systems is a nice to have
•  

Why You’ll Love Working Here!

• We are Remote first! Do your best work where you are most comfortable.
• Highly competitive compensation package, including equity - everyone has a stake in our growth
• Comprehensive benefits, including up to 100% paid medical, dental, & vision insurance coverage for you & your loved ones
• Unlimited PTO policy encouraging you to take the time you need - we trust you to strike the right work/life balance
• Monthly Mental Health Days and Mental Health Weeks twice per year 

 Your base pay is one part of your total compensation package and is determined within a range. The base salary for this role is from $140,000.00 - $180,000.00 per year. We take into account numerous factors in deciding on compensation, such as experience, job-related skills, relevant education or training, and other business and organizational requirements. The salary range provided corresponds to the level at which this position has been defined.

Catalyst+Totango is an equal opportunity employer, meaning that we do not discriminate based upon race, religion, national origin, gender identity, age, sexual orientation, or any other protected class. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees.

Meet the team:   

In the Apps & Frameworks group our core obligation is to develop and own the production-grade automated processes of the Torc data loop. Starting with data selection, following training, evaluation, release verification and deployment, in the end, our machine learning models make our trucks perceive and steer through the world! The internal verification team focuses on recompute verification of all component teams, helping to understand the performance of our Virtual Driver automatically. To be successful, we collaborate with different component, data science, ML Ops and recompute teams across the organization.   

What you’ll do:   

• Performance metric development for perception and behavior components in Python 

• Managing, extending and using SQL databases with component output data 

• Maintaining and extending a Python dashboard displaying component verification data 

• Leveraging available (meta-)data of the Torc datalake to enrich our dashboard with helpful information for our component teams 

What you’ll need to succeed:   

• Considered very skilled and proficient in discipline; conducts important work under minimal supervision and with latitude for independent judgment 

• BS+ 4+ years of experience or MS+ 3+ years of experience. 

• Proficient in Git and Linux 

• Advanced Python programming skills 

• Proficiency in SQL for database management and data analysis 

• Domain experience in automated vehicle technology related to requirements, testing and verification 
   

Bonus Points!   

• Experience in modern python repository and package management 

• Experience with data visualization and analysis related to robotics/automated vehicles 

Perks of Being a Full-time Torc’r  

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:      

• A competitive compensation package that includes a bonus component and stock options    

• 100% paid medical, dental, and vision premiums for full-time employees      

• 401K plan with a 6% employer match    

• Flexibility in schedule and generous paid vacation (available immediately after start date)   

• Company-wide holiday office closures    

• AD+D and Life Insurance 

About the Role:

The Sr. Consultant of AI Solutioning will be instrumental in delivering exceptional AI solutions to clients. Reporting to the Director of AI Solutioning, this role involves active participation in client delivery and support for presales activities. Leveraging deep expertise in AI solution design, development, and deployment, the Sr. Consultant will serve as a subject matter expert and thought leader in the AI solutioning domain. In collaboration with the Director of AI Solutioning and other capability leads, responsibilities include developing and refining methodologies and frameworks, contributing to business development and proposal activities, and ensuring high-quality delivery across multiple clients. The primary focus will be leading delivery teams and advancing the overall growth and development of AI solutioning capabilities.

What You’ll Do:

I.  AI Capabilities Development

• Support developing and refinement of methodologies for AI requirement gathering, solution design, and development
• Create reusable AI solutions capabilities for common industry challenges
• Develop AI solutions to address key client challenges, including AI monitoring and observability, and security operations for machine learning models (ML LLM/Sec Ops)
• Contribute to the development of Trace3’s AI Solutioning product and service portfolio, aligning with market demands and company strategy

II.  Teamwork

• Coordinate approach with the Directo of AI Solutioning to ensure AI solutioning aligns with Trace3 business objectives and growth strategies
• Collaborate with cross-functional teams to align AI solutioning with overall product and services strategy
• Support sales/account teams by providing expertise in AI solution design and development during sales pursuits and client engagement

III.  Talent Development

• Mentor and lead a team of AI architects, strategists and product managers, ensuring successful project delivery and continuous development
• Contribute to the continuous learning and development of internal talent

IV.  AI Capabilities Sales and Delivery

• Work closely with clients to understand their challenges, gather and analyze data, formulate hypotheses, and define actionable plans to solutions.
• Ensure the quality and consistency of AI solution delivery across multiple clients
• Guide clients through technology/data selection, leveraging expertise in Azure OpenAI, Snowflake, Databricks, LLMs and related AI tools
• Lead client engagements, from initial solution design through to solution deployment
• Lead resources directly and through cross functional teams; exhibit strong leadership to drive high performing teams
• Manage the scope, requirements, resources and budget for all assigned projects
• Continuously monitor and create transparency through the communication of project status, issues and risks to internal teams and our client

V.  Thought Leadership

• Stay updated on latest AI trends, technologies, and best practices to inform strategy development and implementation.

Qualifications & Interests:

• Bachelor’s degree required, advanced degree/certifications preferred.
• 5+ years’ experience leading technical consulting engagements including focuses on data science, data transformation, AI/data architectures, advanced analytics, or similar platform implementation
• 2+ years’ experience in solution design and development, with a strong track record of successful client engagements
• Relevant AI/ML certifications preferred but not required (e.g., Azure Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, etc.)
• Certifications in data platforms, data science, AI, statistical analysis and/or related areas by reputable organizations
• Familiarity with various AI and Machine Learning technologies, methods, tools (e.g., GitHub, PyTorch, TensorFlow, etc.), cloud platforms (e.g., AWS, Azure, GCP), programming languages (Python, R, etc.), and data architecture
• Extensive knowledge of data analysis, statistical modeling, consultative frameworks, project management methodologies, and technical implementation
• Up-to-date understanding of AI industry trends and emerging technologies
• Highly organized, detail-oriented, excellent time management skills and able to effectively prioritize tasks in a fast-paced, high-volume, and evolving work environment
• Ability to approach customer requests with a proactive and consultative manner; listen and understand user requests and needs and effectively deliver
• Strong influencing skills to get things done and inspire business transformation
• Excellent oral, written communication and presentation skills with an ability to present security related concepts to C-Level Executives and non-technical audience
• Conflict negotiation and problem-solving skills and agility

The Team

Across our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission. Our Central Operations & Partners team provides the support needed to push this work forward. 

Central Operations & Partners consists of our Brand & Communications, Community, Facilities, Finance, Infrastructure/IT Operations/Business Systems, Initiative Operations, People, Real Estate/Workplace/Facilities/Security, Research & Learning, and Ventures teams. These teams provide the essential operations, services, and strategies needed to support CZI’s progress toward achieving its mission to build a better future for everyone.

The Opportunity

By pairing engineers with leaders in our science and education teams, we can bring AI/ML technology to the table in new ways to help drive solutions. We are uniquely positioned to design, build, and scale software systems to help educators, scientists, and policy experts better address the myriad challenges they face. Our technology team is already helping schools bring personalized learning tools to teachers and schools across the country. We are also supporting scientists around the world as they develop a comprehensive reference atlas of all cells in the human body, and are developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences. 

The AI/ML and Data Engineering Infrastructure organization works on building shared tools and platforms to be used across all of the Chan Zuckerberg Initiative, partnering and supporting the work of a wide range of Research Scientists, Data Scientists, AI Research Scientists, as well as a broad range of Engineers focusing on Education and Science domain problems. Members of the shared infrastructure engineering team have an impact on all of CZI's initiatives by enabling the technology solutions used by other engineering teams at CZI to scale. A person in this role will build these technology solutions and help to cultivate a culture of shared best practices and knowledge around core engineering.

We are building a world-class shared services model, and being based in New York helps us achieve our service goals. We require all interested candidates to be based out of New York City and available to work onsite 2-3 days a week.

What You'll Do

• Participate in the  technical design and building of efficient, stable, performant, scalable and secure AI/ML and Data infrastructure engineering solutions.
• Active hands-on coding working on our Deep Learning and Machine Learning models
• Design and implement complex systems integrating with our large scale AI/ML GPU compute infrastructure and platform, making working across multiple clouds easier and convenient for our Research Engineers, ML Engineers, and Data Scientists. 
• Use your solid experience and skills in building containerized applications and infrastructure using Kubernetes in support of our large scale GPU Research cluster as well as working on our various heterogeneous and distributed AI/ML environments.  
• Collaborate with other team members in the design and build of our Cloud based AI/ML platform solutions, which includes Databricks Spark, Weaviate Vector Databases, and supporting our hosted Cloud GPU Compute services running containerized PyTorch on large scale Kubernetes.
• Collaborate with our partners on data management solutions in our heterogeneous collection of complex datasets.
• Help build tooling that makes optimal use of our shared infrastructure in empowering  our AI/ML efforts with world class GPU Compute Cluster and other compute environments such as our AWS based services.

What You'll Bring

• BS or MS degree in Computer Science or a related technical discipline or equivalent experience
• 5+ years of relevant coding experience
• 3+ years of systems Architecture and Design experience, with a broad range of experience across Data, AI/ML, Core Infrastructure, and Security Engineering
• Scaling containerized applications  on Kubernetes or Mesos, including expertise  with creating custom containers using secure AMIs and continuous deployment systems that integrate with Kubernetes or Mesos. (Kubernetes preferred)
• Proficiency with Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, and experience with On-Prem and Colocation Service hosting environments
• Proven coding ability with a systems language such as Rust,C/ C++, C#, Go, Java, or Scala
• Shown ability with a scripting language such as Python, PHP, or Ruby
• AI/ML Platform Operations experience in an environment with challenging data and systems platform challenges - including large scale Kafka and Spark deployments (or their coralaries such as Pulsar, Flink, and/or Ray) as well as Workflow scheduling tools such as Apache Airflow, Dagster, or Apache Beam  
• MLOps experience working with medium to large scale GPU clusters in Kubernetes (Kubeflow),  HPC environments, or large scale Cloud based ML deployments
• Working knowledge of Nvidia CUDA and AI/ML custom libraries.  
• Knowledge of Linux systems optimization and administration
• Understanding of Data Engineering, Data Governance, Data Infrastructure, and AI/ML execution platforms.
• PyTorch, Karas, or Tensorflow  experience a strong nice to have
• HPC with and Slurm experience a strong nice to have

Compensation

The Redwood City, CA base pay range for this role is $190,000 - $285,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
• CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving to the Bay Area
• And more!

Commitment to Diversity

We believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts. 

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

#LI-Remote 

 

 

The Team:

Our team is responsible for building the Celonis’end-to-end Task Mining solution. Task Mining is the technology that allows businesses to capture user interaction (desktop) data, so they can analyze how teams get work done, and how they can do it even better. We own all the related components, e.g. the desktop client, the related backend services, the data processing capabilities, and Studio frontend applications.

The Role:

Celonis is looking for a Staff Data & Machine Learning Engineer to improve and extend our existing Task Mining ETL pipeline as well as build production ready AI based features into the Task Mining product. You will be owning the solution to simplify the extraction of insights from task mining data. This role demands a blend of expertise in data engineering, software development, and machine learning, utilizing Python. 

The work you’ll do:

• Design, build, and maintain robust, scalable data pipelines that facilitate the ingestion, processing, and transformation of large datasets
• Drive the development of AI-powered features and applications from scratch within the Task Mining product
• Implement data strategies and develop data models
• Collaborate with other engineering teams to implement, deploy, and monitor ML models in production, ensuring their performance and accuracy
• Leverage machine learning techniques to provide actionable insights and recommendations for process optimization
• Write performant, scalable and easy to understand SQL queries and optimize existing ones
• Learn PQL (Process Query Language – Celonis’ own language for analytical formulas and expressions) and use it to query data from our process mining engine
• Own the implementation of end to end solutions: leading the design, implementation, build and delivery to customers
• Provide technical leadership and mentorship to other engineers and team members
• Lead design discussions, code reviews, and technical planning sessions to ensure high standards and knowledge sharing

The qualifications you need:

• 8+ years of practical experience in a Computer Science/Data Science related field
• Or PhD in Data Science/AI/ML area with 5+ years of practical experience 
• Experience with building production ready and scalable AI/ML applications in the python ecosystem
• Ability to optimize data pipelines, applications, and machine learning models for high performance and scalability
• Understanding of ETL jobs, data warehouses/lakes, data modeling, schema design
• Excellent command of SQL, including query optimization principles
• Ability to assess dependencies within complex systems, quickly transform your thoughts into an accessible prototype and efficiently explain it to diverse stakeholders
• Experience with containerization and CI/CD pipelines (e.g. Docker, Github Actions)
• Interest in learning new technologies (e.g. PQL language and Object Centric Process Mining)
• Strong communication and collaboration skills (English is a must)
• Able to supervise and coach mid-level and senior colleagues
• Knowledge of Column-oriented DBMS (e.g. Vertica) and its specific features would be beneficial
• Nice to have is knowledge in the frameworks Tensorflow, Pytorch, Langchain, FastAPI, SQLAlchemy 

About the Role:

The Director of AI Solutioning will be an integral member of the AI Leadership Team, responsible for shaping and executing Trace3’s AI product strategy. This role will focus on defining and delivering innovative AI service offerings, while also providing strategic direction and technical expertise in AI solutions design and implementation. Key responsibilities include collaborating with clients’ AI leaders and executives to develop and execute AI strategies that address prioritized use cases. The Director will lead the definition and development of AI solutions, ensuring they align with both client needs and company objectives. This role demands a strong blend of consultative skills, technical proficiency, and business acumen to effectively navigate the rapidly evolving AI landscape and drive significant value for the Trace3 and our clients.

What You’ll Do:

I.  AI Capabilities Development

• Develop and maintain annual capabilities roadmap and resource plan
• Create frameworks for translating business problems into AI-solvable use cases
• Develop and refine methodologies for AI requirement gathering, solution design, and development
• Oversee the creation of reusable AI solutions capabilities for common industry challenges
• Develop solutions to address key AI challenges, including AI monitoring and observability, and security operations for machine learning models (ML LLM/Sec Ops)
• Develop and maintain AI Solutioning product and service portfolio, aligning with market demands and company strategy

II. Teamwork

• Collaborate with executives to ensure AI solutioning aligns with Trace3 business objectives and growth strategies
• Coordinate with other Product Leaders to align AI solutioning with overall product strategy
• Participate in cross-product strategic pursuit team to evaluate and pursue significant revenue generating opportunities
• Support sales/account teams by providing expertise in AI solution design and development during sales pursuits and client engagements

III.  Talent Development

• Support talent management efforts to attract, develop and retain highly competitive AI talent
• Mentor and lead a team of AI strategists, architects and product managers, ensuring successful project delivery and continuous development

IV.  AI Capabilities Sales and Delivery

• Partner with clients to align our Trace3 capabilities and offerings to their needs, develop and tailor proposals for clients.
• Drive sales and GTM activities around the AI Solutioning space working with our sales leaders and account teams.
• Act as project director and subject matter expert on strategic client projects and sales pursuits.
• Guide clients through technology/data selection, leveraging expertise in Azure OpenAI, Snowflake, Databricks, LLMs and related AI tools

V.  Thought Leadership

• Stay updated on latest AI trends, technologies, and best practices to inform strategy development and implementation.
• Drive thought leadership initiatives through white papers, presentations, and industry events

Qualifications & Interests:

• Master’s degree/Ph.D. focus on AI, Machine Learning, Statistics, Economics, or Business Administration, strongly preferred
• 10+ years’ experience including consulting leadership with focus areas including data/AI strategy, data science, advanced analytics, and data ecosystem transformations
• 5+ years’ experience in solution design and development, with a strong track record of successful client engagements
• 5+ years of product management experience in AI, Advanced Analytics, or digital transformation
• (Preferred) Relevant AI/ML certifications (e.g., Azure Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, etc.)
• Certifications in data science, AI, statistical analysis and/or related areas by reputable organizations
• Extensive knowledge of data analysis, statistical modeling
• Deep understanding of AI and Machine Learning technologies, methods, tools (e.g., GitHub, PyTorch, TensorFlow, etc.), cloud platforms (e.g., AWS, Azure, GCP), programming languages (Python, R, etc.), and data architecture
• Up-to-date understanding of AI industry trends and emerging technologies
• Proven track record in bringing revenue-generating AI solutions to market
• Experience in a consulting or solutions-oriented environment
• Demonstrated track record of thought leadership content creation
• Strong financial and business acumen with understanding of a multi-faceted business operation
• Strong influencing skills to get things done and inspire business transformation
• Ability to approach customer and sales requests with a proactive and consultative manner; listen and understand user requests and needs and effectively deliver
• Excellent oral, written communication and presentation skills with an ability to present security related concepts to C-Level Executives and non-technical audience
• Conflict negotiation and problem-solving skills and agility
• Ability to travel when needed