In this role as Sr. Staff Machine Learning Engineer, you will define and lead the architecture and development of large-scale, foundational machine learning systems that power care personalization, treatment intelligence, and automation at scale. Your work will directly shape MedMatch—our AI-powered system—by owning the architecture and direction of key ML components, enhancing provider-patient interactions, optimizing treatment recommendations, and expanding into new verticals.
You will own and drive architectural decisions for ML and LLM models for treatment recommendation, personalization, and intelligent care delivery. You will work extensively with Python and ML libraries like PyTorch to build, optimize, and scale complex model pipelines. Youll write and review high-quality, production-ready code supporting high-impact, cross-team ML systems. Partner with engineers and product leadership to align ML development with strategic priorities. Architect a robust ML infrastructure to enable streamlined training, evaluation, deployment, and monitoring. Drive the adoption of new ML technologies and practices, contributing to long-term group-level technical maturity. Mentor senior and staff-level engineers across multiple squads, guiding system-level thinking and best practices. Champion a culture of scalable system design, engineering rigor, and customer-first innovation.