Senior Manager, ML Health

📋 Description

• Own delivery, team health, and people outcomes across Health ML workstreams on a mixed Applied ML
• Translate department strategy into quarterly plans, milestones, and success criteria; keep the team
• Build the team: lead hiring across science and engineering roles, calibrate the bar for each craft
• Develop the next layer of leadership: coach senior ICs (and managers, as the scope grows), manage
• Set the standard for how Health ML gets built: work quality, evaluation rigor, review practices
• Partner directly with Product (and with clinical, software, and Digital Health partners as the work

🎯 Requirements

• 7+ years of experience in machine learning, applied science, or software engineering, with 3+ years
• Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a
• Demonstrated track record managing highly senior ICs: hiring, performance management, and
• Deep familiarity with the ML development lifecycle (data collection, model training, evaluation
• Experience shipping algorithms or ML-enabled product in health, wearables, digital health, or a
• Demonstrated ability to set direction and make timely prioritization calls under uncertainty

🎁 Benefits

• In addition to the base salary, the successful candidate will also receive benefits and a generous