Principal Machine Learning Engineer

As Principal Machine Learning Engineer, you will define and drive the architectural vision for ML and LLM systems that support treatment recommendation, personalization, and intelligent care delivery at scale. You will establish foundational design patterns and infrastructure practices that ensure systems are scalable, resilient, secure, and maintainable. Work hands-on with Python and ML frameworks like PyTorch to prototype, optimize, and guide implementation of complex model pipelines and platform components. You will align high-impact technical decisions with long-term product strategy by partnering with platform, product, and clinical teams. Architect and evolve robust ML infrastructure to support continuous training, real-time inference, evaluation, and observability. Lead cross-functional initiatives that simplify system complexity, improve developer velocity, and increase organizational leverage. You will also shape quality strategies across teams by defining standards for testing, observability, performance, and operational risk. Mentor senior and staff engineers across squads, supporting their growth as systems thinkers and technical leaders; and champion a culture of sustainable speed, system ownership, and architectural clarity across product and platform teams.