About the role

  • Lead Machine Learning Engineering at Foundation Health, designing and deploying production ML systems. Collaborate with teams to implement AI/ML solutions for impactful healthcare.

Responsibilities

  • Design, build, and deploy production ML systems across our platform
  • Lead the technical vision for AI/ML and establish best practices
  • Build and mentor a high-performing ML team
  • Work closely with backend and platform engineers on system design
  • Develop ML-powered automation features for healthcare workflows
  • Use tools like OpenAI, Langfuse, and GCP Vertex AI in real-world applications
  • Ensure ML systems are reliable, testable, observable, and secure

Requirements

  • Strong software engineering background with high coding standards
  • Experience building and operating ML systems in production
  • Solid understanding of system design, distributed systems, and architecture tradeoffs
  • Comfortable writing clean, scalable, well-tested code
  • Proven ability to lead technically while remaining hands-on
  • Clear communicator who enjoys mentoring and collaboration
  • Customer-focused mindset with empathy for end users
  • Likely PhD-level background (or equivalent experience) in ML, AI, or a related field

Benefits

  • First ML hire with real ownership and influence
  • Greenfield opportunity to define ML at a Series-A company
  • Strong existing engineering culture
  • Modern ML stack and real production problems
  • Meaningful impact on healthcare operations

Job title

ML Engineering Lead

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job