Engineering Manager, Machine Learning, Data Platforms

Job Description: • Manage, mentor, hire and grow 8+ ML Engineers and Data Engineers across three distinct teams • Be a strong technical partner for engineers to guide ML system architecture, model deployment, and data platform design & execution • Ensure ML solutions are production-grade, scalable, observable, cost effective and maintainable • Drive best practices for ML model lifecycle management, data pipelines, and system reliability • Work closely with Product, Clinical, Operations, and Research stakeholders to translate business and clinical needs into clear technical priorities • Partner with Tech Leads and Product to define the ML and data platform goals and roadmaps, balancing near-term wins with long-term scalability Requirements: • Multiple years of experience managing engineering teams, ideally including AI/ML or data-focused teams • Strong understanding and hands on experience with machine learning systems in production (not just model development) • Familiarity with realtime (Flink or similar) and batch data platforms, pipelines, and analytics infrastructure • Ability to lead teams working on distinct but interdependent problem spaces • Excellent communication skills with both technical and non-technical stakeholders • Background in ML Engineering, Data Engineering, or Applied ML (preferred) • Experience with computer vision and/or time-series forecasting (preferred) • Experience building ML systems in regulated environments like healthcare (preferred) • Comfort operating in a fast-growing, ambiguous environment Benefits: • Competitive salary and stock options • Flexible vacation policy and a culture that values time for rest and recharging • Remote-first work environment with unique virtual and in-person events to foster team connection • Comprehensive health, dental, and vision insurance—we're a healthcare company that prioritizes your health • 16 weeks of parental leave for all parents Apply tot his job