ML Engineering Lead

Join us in our mission to revolutionize healthcare.

Together, let's build something extraordinary that will shape the future of well-being for generations to come.

Embrace the opportunity to contribute to a team where your ideas and efforts make a tangible difference. The journey awaits – come be a part of building the future with Foundation Health

We're always looking for talented people, check out our latest job openings.

Hybrid

About Foundation Health

Foundation Health is transforming healthcare through an AI-powered digital pharmacy platform that seamlessly connects operational infrastructure with high quality patient experiences. Our mission is to transform patient centric care by connecting fragmented infrastructure, optimizing care coordination, and removing friction from the patient journey.

This ambitious vision is only achievable with the dedication of the right team propelling us forward. We firmly believe that a supportive and inspiring work environment fuels creativity, transforming it into groundbreaking innovation. It is this very innovation that not only benefits our organization but also positively impacts our people, partners, and most importantly, our patients.

We’re hiring a Machine Learning Engineering Lead to own and scale AI/ML at Foundation Health.

You’ll be hands‑on from day one, setting technical direction, building production ML systems, and growing the ML team from the ground up. You’ll work closely with our software engineers and product teams to ship ML features that solve real healthcare problems.

This isn't research-only or “AI for AI’s sake” - it’s production ML in a regulated, high‑impact environment.

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

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

Experience with cloud ML platforms (GCP Vertex AI, AWS Sage Maker)

Knowledge of streaming data systems (Flink, Beam, Spark, Kafka)

Familiarity with Infrastructure as Code (Terraform, Ansible, Git Hub Actions)

Strong interest in security, privacy, and regulated environments

Experience with complex systems (e.g. payments, healthcare, finance)

First ML hire with real ownership and influence

Greenfield opportunity to define ML at a Series‑A company

Modern ML stack and real production problems

Meaningful impact on healthcare operations

At Foundation Health, your work makes a real difference. Enjoy a culture that champions your growth and well‑being, within a team that's reshaping healthcare for the better.

Employee stock option program Invest in our growth and share in Foundation Health’s success.

Generous PTO Recharge with ample paid time off that supports your well‑being.

Remote working Work from anywhere and thrive in a flexible, digital‑first environment.

Health, dental and vision plans Comprehensive health coverage that puts your well‑being first.

Flexible working Customize your work schedule for a perfect work‑life harmony.