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The Role
Design, build, and deploy machine learning and AI models into production. Develop tools, APIs, and full-stack internal tooling (VueJS, Java, Postgres). Maintain production Python services with testing, observability, and monitoring (DataDog, Sentry, Kibana). Collaborate with Data Science on model training, deployment, monitoring, and refactor code for performance and maintainability.
Summary Generated by Built In
Duties:
Design, develop, and deploy WHOOP’s core technology by implementing machine learning and
artificial intelligence models into production systems to generate insights and
recommendations for member behavior and lifestyle improvement. Build and design tools, models,
algorithms, and infrastructure to support Data Scientists in developing, deploying, and monitoring
machine learning models. Develop and maintain WHOOP’s full-stack internal toolset, including
VueJS, Java, and Postgres. Collaborate with Data Science team members to
support model development, training, and monitoring activities. Develop and maintain production-
ready Python services, ensuring testability, reliability, and scalability, and implement best
practices around testing, observability, and monitoring. Refactor production codebase to improve
performance, reduce complexity, and enhance maintainability. Participate in the design, planning,
and development of new software features for WHOOP’s platform. Deliver software features
through iterative development and code review processes (e.g., pull requests).
Perform troubleshooting and debugging using logging and monitoring tools such as DataDog,
Sentry, and Kibana.
artificial intelligence models into production systems to generate insights and
recommendations for member behavior and lifestyle improvement. Build and design tools, models,
algorithms, and infrastructure to support Data Scientists in developing, deploying, and monitoring
machine learning models. Develop and maintain WHOOP’s full-stack internal toolset, including
VueJS, Java, and Postgres. Collaborate with Data Science team members to
support model development, training, and monitoring activities. Develop and maintain production-
ready Python services, ensuring testability, reliability, and scalability, and implement best
practices around testing, observability, and monitoring. Refactor production codebase to improve
performance, reduce complexity, and enhance maintainability. Participate in the design, planning,
and development of new software features for WHOOP’s platform. Deliver software features
through iterative development and code review processes (e.g., pull requests).
Perform troubleshooting and debugging using logging and monitoring tools such as DataDog,
Sentry, and Kibana.
Requirements:
Bachelor’s degree in Computer Science, Data Science, Software Engineering or related technical
field (or foreign degree equivalent) and 5 years of experience developing and delivering machine
learning models and algorithms into production. Will also accept a Master’s degree in Computer
Science, Data Science, Software Engineering or related technical field (or foreign degree
equivalent) and 2 years of experience developing and delivering machine learning models and
algorithms into production. Required Skills: At least 2 years of experience with front end
development using modern frameworks (Vue or React); At least 2 years of experience with API
design and development using Java, C++, and Python; At least 2 years of experience using SQL for
relational database design and development; At least 2 years of troubleshooting experience
utilizing AWS Cloudwatch, DataDog, Sentry or Kibana; At least 2 years of experience using a
cloud computing platform such as AWS, Azure, or GCP; At least 2 years of experience developing,
testing, and deploying production Python code. Partial telecommuting permissible from normal commuting distance.
field (or foreign degree equivalent) and 5 years of experience developing and delivering machine
learning models and algorithms into production. Will also accept a Master’s degree in Computer
Science, Data Science, Software Engineering or related technical field (or foreign degree
equivalent) and 2 years of experience developing and delivering machine learning models and
algorithms into production. Required Skills: At least 2 years of experience with front end
development using modern frameworks (Vue or React); At least 2 years of experience with API
design and development using Java, C++, and Python; At least 2 years of experience using SQL for
relational database design and development; At least 2 years of troubleshooting experience
utilizing AWS Cloudwatch, DataDog, Sentry or Kibana; At least 2 years of experience using a
cloud computing platform such as AWS, Azure, or GCP; At least 2 years of experience developing,
testing, and deploying production Python code. Partial telecommuting permissible from normal commuting distance.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Software Engineering or related field (or foreign equivalent) and 5 years of experience delivering ML models into production
- Master's degree in Computer Science, Data Science, Software Engineering or related field (or foreign equivalent) and 2 years of experience delivering ML models into production
- At least 2 years of front-end development experience using modern frameworks (Vue or React)
- At least 2 years of API design and development experience using Java, C++, and Python
- At least 2 years of experience using SQL for relational database design and development
- At least 2 years of troubleshooting experience utilizing AWS CloudWatch, DataDog, Sentry, or Kibana
- At least 2 years of experience using a cloud computing platform such as AWS, Azure, or GCP
- At least 2 years developing, testing, and deploying production Python code
What the Team is Saying
Josh
Lead Designer
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Manan Dedhia
Field Quality Manager
Anahis
Staff Tech Lead - Mechanical Engineering
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WHOOP Compensation & Benefits Highlights
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Wellbeing & Lifestyle Benefits — Wellness support includes a stipend and a complimentary WHOOP membership to use and gift, aligning perks with the company’s health focus. Feedback suggests these lifestyle benefits are a meaningful part of total rewards.
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Healthcare Strength — Core coverage spans medical, dental, vision, mental health services, and life and disability insurance. This breadth indicates a comprehensive health safety net.
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Equity Value & Accessibility — Total rewards commonly include stock options or equity participation, positioning ownership as part of compensation. Feedback suggests equity is viewed as a valuable component of the package.
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The Company
What We Do
At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.
Why Work With Us
At WHOOP, we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.
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WHOOP Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
4 days a week
