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Software Engineer, Machine LearningWHOOPUnited States
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Software Engineer, Machine Learning

WHOOP
  • US
    United States
  • US
    United States

About

Machine Learning Engineer
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. Salary: $150,000/year – $215,000/year
  • United States

Languages

  • English
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