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 Data Dog, Sentry, and Kibana.

• 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.
• 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.
• 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 Cloud Watch, Data Dog, 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