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Job Summary:

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. As a Machine Learning Engineer II on the Health Insights team, you will develop and deploy machine learning systems that provide personalized health metrics to millions of members, working at the intersection of data science, backend engineering, and health research.

Responsibilities:

• 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 for model serving.

• Establish and uphold performance, observability, and accuracy standards through rigorous testing, validation, and continuous evaluation.

Qualifications:

Required:

• Bachelor’s degree in Computer Science, Machine Learning, Applied Mathematics, Statistics, or a related field.

• 2+ years of professional experience delivering ML-driven solutions in production environments.

• Proficient in Python with experience using ML libraries (e.g., scikit-learn, PyTorch, TensorFlow) and numerical packages (e.g., numpy, scipy, pandas).

• 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 (e.g., Airflow, MLflow, AWS/GCP, Kubernetes).

• Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams.

Preferred:

• Understanding of digital health and physiological monitoring concepts.

• Knowledge of modern MLOps practices and the full lifecycle of ML systems.

• Experience with statistical analysis and causal inference methods for deriving actionable insights from observational data.

Company:

WHOOP is a fitness product company that monitors sleep, strain, and recovery for athletes. Founded in 2012, the company is headquartered in Boston, Massachusetts, USA, with a team of 501-1000 employees. The company is currently Late Stage. WHOOP has a track record of offering H1B sponsorships.