Senior Machine Learning Engineer, Insights

Responsibilities

• Create, improve, and maintain production services that provide analysis for health features in collaboration with data scientists and MLOps engineers.
• Collaborate with data engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance.
• Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency.
• Collaborate with researchers and product teams to align model development with physiological insights and member impact.
• Participate in on-call rotations for data science services, ensuring uptime and performance in production environments.

Qualifications

• Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred).
• 4+ years of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems.
• Strong coding skills in Python with a track record of writing clean, production-quality code.
• Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch).
• Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models.
• Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices.
• Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems.

Preferred

• 2+ years of experience applying advanced mathematical and statistical techniques.
• Experience working with time series data (wearable, physiological, or high-frequency sensor data).