Genentech
Genentech discovers, develops, and commercializes biologic therapies for serious diseases across oncology, immunology, neuroscience, ophthalmology, infectious disease, and metabolism. Founded in 1976 and headquartered in South San Francisco, it operates as a member of the Roche Group, with research centered in its gRED organization and revenue driven by prescription drug sales and collaborations.
Open Positions at Genentech
8 open positions
Build scalable AI/ML systems, scientific applications, and data infrastructure that accelerate drug discovery and development at Roche. This role partners with scientists, product leaders, and engineers to evaluate models and turn AI capabilities into everyday research utilities.
Build and operate scalable machine learning infrastructure that powers Roche’s AI-driven drug discovery initiatives. The role spans AWS infrastructure, automation, MLOps, and collaboration with ML engineers and data scientists, with a senior track focused on technical leadership.
Build scalable machine learning and computer vision systems for scientific imaging, enabling richer phenotypic analysis and faster biomedical discovery. This senior role spans model development, backend pipelines, cloud infrastructure, and collaboration with scientific teams.
Machine Learning Scientist on Roche’s Foundation Models team, building and improving large-scale reasoning LLMs for scientific and drug-discovery applications. The role combines research, high-performance engineering, biological and chemical domain translation, and evaluation of AI systems.
Design and lead scalable omnichannel solution architecture for Genentech’s customer data, engagement, orchestration, personalization, and analytics ecosystem. The role centers on Adobe Experience Platform and requires close partnership with business, product, engineering, data, and vendor teams.
Lead the engineering, scaling, and productionization of foundation models, LLM-powered agents, and agentic systems for scientific drug discovery. This principal-level role combines ML infrastructure, distributed systems, MLOps/AgentOps, and technical strategy.
Build production software for an agentic molecule-design platform that combines AI agents, scientific tools, models, and internal data to support drug discovery. You will develop backend services and user-facing applications while improving the reliability and usability of scientific workflows.
Build and operate scalable machine-learning infrastructure for Roche’s AI for Drug Discovery organization. The role combines AWS cloud engineering, DevOps automation, and close collaboration with ML engineers and data scientists.