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. We refuse to adhere to the status quo; instead, we actively pioneer solutions that will shape the healthcare practices of tomorrow.
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.
At Foundation Health, we foster a culture that encourages our team members to broaden their horizons, urging them to bring their passion and curiosity to the workplace each day. We understand that diverse perspectives fuel progress, and we actively seek individuals who share our commitment to excellence and forward-thinking.
The RoleWe’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.
What You’ll DoDesign, 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 SageMaker)
Knowledge of streaming data systems (Flink, Beam, Spark, Kafka)
Familiarity with Infrastructure as Code (Terraform, Ansible, GitHub 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
Strong existing engineering culture
Modern ML stack and real production problems
Meaningful impact on healthcare operations
