Software Engineer, Machine Learning

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.

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.

Salary: $150,000/year – $215,000/year