Director | Engineering, ML

Role overview

Lead an engineering team responsible for building and operating a production AI and machine learning platform. The role combines hands-on technical direction, team development, and coordination with data science and product partners to turn experiments into dependable services that can serve multiple use cases at scale.

Responsibilities

- Lead and grow the ML engineering team, coordinating delivery with data scientists and other contributors. - Design, build, and operate platform capabilities such as agent frameworks, evaluation tools, labeling workflows, document processing, semantic search, knowledge bases, and model hosting. - Establish production practices for reliability, observability, performance, and incident response. - Create processes that help translate data science prototypes into maintainable production services. - Partner with AI and product leadership on platform and product direction, clarifying ambiguous problems and surfacing risks early. - Plan capacity and delivery across engineering and data science, and encourage effective use of AI tools in development, reviews, testing, and operations.

Requirements

- At least five years managing engineering teams of roughly eight or more, with hands-on technical leadership. - Eight or more years of backend engineering experience as an individual contributor. - At least three years building production AI or ML services at scale across multiple use cases, working closely with data science and engineering. - Strong experience in a backend language such as Java, Scala, or Rust, as well as Python. - Understanding of the workflows, model serving, observability, reliability, and scaling needs of AI/ML platforms. - Enough fluency in data science concepts to partner with data science leadership, plus clear communication and comfort working through ambiguity. - Computer science degree or equivalent experience.

Nice to have

Healthcare industry experience.

Benefits and work setup

Work from anywhere in the United States in a digital-first environment. Benefits include medical, dental and vision coverage, FSA/HSA options, tuition reimbursement, a 401(k) with company match, paid time off, wellness benefits, and equity. Compensation varies with experience, skills, and level.