Whoop
Senior Machine Learning Engineer, Core Algorithms
$150K–$210K
Boston, MA · On-site · Senior · Full-time · Posted Jul 15, 2026
- Experience
- 4+ years as an ML engineer, applied researcher, or software engineer focused on ML systems.
- Education
- Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field.
About the job
Build and operate scalable machine-learning systems that turn wearable physiological and behavioral data into personalized sleep, recovery, and exercise insights.
What you'll do
- Build and maintain production services, data pipelines, tooling, and validation systems for core algorithms.
- Translate research prototypes into scalable ML systems, and develop operational infrastructure for evaluation, monitoring, alerting, and incident response.
- Collaborate with scientists and Product teams, and mentor colleagues through production-practice and system-design reviews.
What they ask for
- Experience with time-series data, such as wearable, physiological, or high-frequency sensor data.
- Strong Python skills and a record of writing clean, production-quality code.
- Experience designing, deploying, and operating production-scale ML systems.
- Experience deploying and maintaining ML backend services, including APIs, reliability, observability, and monitoring; AWS or GCP.
Nice to have
- Master’s degree.
- 2+ years applying advanced mathematical and statistical techniques.
Pay
$150,000-$210,000 USD base salary
Tools
Python, AWS, GCP
AI focus
Develop and productionize machine-learning algorithms for personalized health and fitness insights from wearable data, including sleep, recovery, and exercise metrics.
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