Machine Learning Engineer @ Latent

Machine Learning Engineer @ Latent - Back to Latent’s Job Listings Machine Learning Engineer Location San Francisco Employment Type Full time Location Type On-site Department Engineering Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For everyone else, care is fragmented and impersonal. Medical history is scattered across systems that don’t communicate. Physicians have minutes to understand decades of context. And when something goes wrong, patients are left with tools that understand medicine broadly—but not the individual. We believe this can be fundamentally rebuilt. At Latent Health, we are building systems that understand both: the population (clinical knowledge at scale) and the individual (longitudinal patient history) Our models are designed to answer complex clinical questions with patient-specific context and verifiable reasoning. Our dataset represents one of the most clinically diverse populations in the United States, including patients with chronic illness and complex disease. Each patient record contains extraordinary depth. ML at Latent Health The Machine Learning team is responsible for building systems that run in real clinical workflows. We work on: Verifiable reinforcement learning at scale Mid-training and post-training of foundation models Novel objectives derived from longitudinal patient data We are a small group of researchers and engineers focused on pushing the frontier while shipping real systems into production. We are a small team and expect engineers to take ownership of critical systems, not components. The Role As a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that run in real clinical workflows. You will drive systems from ambiguous problem definition through to reliable pr