The AI Biology & Translation (AIBT) department within Genentech’s Computational Sciences Center of Excellence (CS-CoE) is building the next generation of AI systems for biology. Our mission is to develop AI models that learn from biological data at unprecedented scale, generating new insights into disease mechanisms, therapeutic opportunities, and human biology. We seek a highly motivated and passionate Senior ML Engineer to join our Generative Modeling team and help build and scale foundation models and agentic systems for therapeutic discovery. The successful candidate will contribute to the design, development, and scaling of large-scale foundation models and AI agents, with the ultimate aim of accelerating target and drug discovery. This role spans the full stack: the agent design and orchestration logic that makes these systems scientifically useful, and the infrastructure, AgentOps, and MLOps that make them robust, reproducible, and efficient at scale. Depending on team coverage at a given time, you may own infrastructure end-to-end or partner with platform engineering on it, this role needs someone comfortable doing either. You’ll join a multidisciplinary environment alongside ML scientists, ML engineers, and computational biologists. The ideal candidate combines strong software and ML engineering skills, a systems mindset, fluency in how agentic systems are actually built and evaluated, and a “get-it-done” attitude.