Engineering Manager, Machine Learning

Role overview

Lead applied machine learning and data platform work where it supports surgical healthcare operations. You will manage three technical teams and guide systems from research into reliable production use, connecting engineering priorities to clinical, product, operations, and research needs.

Responsibilities

- Lead teams covering computer vision, forecasting, machine learning engineering, and data platforms. - Hire, mentor, and develop engineers and data engineers across the teams. - Set departmental priorities, operating standards, workflows, and delivery timelines. - Guide machine learning architecture, model deployment, and data platform design. - Establish practices for model lifecycle management, data pipelines, and system reliability. - Define team goals and roadmaps, balancing near-term impact with long-term scalability.

Requirements

- Experience leading technical teams across machine learning and data engineering. - Ability to guide machine learning systems from research through production deployment. - Experience overseeing system architecture, model deployment, or data platform execution. - Ability to build scalable, observable, cost-effective, and maintainable systems. - Skill in translating clinical and operational needs into clear technical priorities. - Comfort leading several related teams with limited supervision.

Benefits and work setup

- Remote work. - Competitive salary and comprehensive benefits are described in the source listing.