Machine Learning Engineer II - Health Insights
Description For Machine Learning Engineer II - Health Insights
WHOOP is revolutionizing the health and fitness industry with their advanced wearable technology, focused on unlocking human performance through detailed body and lifestyle analysis. The Health Insights team plays a crucial role in developing innovative algorithms and features that expand their health capabilities, covering areas from women's health to medical device-grade metrics and wellness monitoring.
As a Machine Learning Engineer II on the Health Insights team, you'll be at the forefront of developing and deploying ML systems that deliver personalized health metrics to millions of users. The role combines data science, backend engineering, and health research, requiring expertise in building scalable ML solutions using physiological and behavioral data streams. You'll work in their Boston office, contributing to a team that values both technical excellence and innovative thinking.
The position offers an opportunity to work with cutting-edge technology in the health wearables space, focusing on robust system design, performance, and reliability in production. You'll be responsible for architecting ML systems, implementing inference pipelines, and ensuring seamless integration with the WHOOP platform. The role requires strong Python skills, experience with ML libraries, and knowledge of modern MLOps practices.
WHOOP encourages applications from candidates who might not meet every qualification, emphasizing character alongside experience. They're building a diverse and inclusive environment, offering the chance to work on meaningful health technology that directly impacts users' lives. The company provides a collaborative atmosphere where you'll work with both technical and non-technical teams, contributing to solutions that advance human performance monitoring and health insights.
Responsibilities For Machine Learning Engineer II - Health Insights
- Architect and optimize ML systems and models to ensure efficiency and scalability in production environments
- Design, implement, and maintain scalable machine learning inference pipelines that power core health features
- Deploy models and build robust backend services that integrate seamlessly with the WHOOP platform
- Collaborate closely with MLOps and software engineering teams to ensure reliable deployment, monitoring, and infrastructure support
- Establish and uphold performance, observability, and accuracy standards through testing, validation, and continuous evaluation
Requirements For Machine Learning Engineer II - Health Insights
- Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Statistics, or related field
- 2+ years of professional experience delivering ML-driven solutions in production environments
- Proficient in Python with experience using ML libraries and numerical packages
- Knowledge of software development best practices including Git, testing, CI/CD, and Docker
- Experience operating ML services in production, including monitoring, alerting, and troubleshooting
- Exposure to tools and platforms for ML infrastructure
- Excellent communication skills with ability to collaborate across technical and non-technical teams
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