Machine Learning Engineer II - Training

• Design, train, and optimize machine learning algorithms for movement, exercise and training applications across diverse backend platforms
• Collaborate closely with data scientists, ML Ops and software engineering teams to ensure reliable deployment, observability, and robust integration with the WHOOP ecosystem
• Contribute to technical roadmap development and architectural decision-making for projects that you are involved in
• Work closely with a team of data scientists in developing algorithms that power member-facing features
• Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
• Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services

• Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
• 2+ years of ML engineering, applied research, or a similar role
• 2+ years experience applying advanced mathematical and statistical techniques
• Experience deploying and maintaining production ML systems on cloud platforms (e.g., Kubernetes, AWS, GCP)
• Familiarity with MLOps best practices and the ability to collaborate effectively with infrastructure teams on Docker, CI/CD workflows, model versioning, and observability tools
• Proficiency in scientific Python and SQL
• Excellent verbal and written communication skills

Preferred experience working with time series data, preferably with wearable data applications

• equity
• benefits