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
Apply To this Job
• 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
Apply To this Job