Machine Learning Engineer/Senior Machine Learning Engineer, Agentic Systems, AI for Drug Discovery

Genentech, part of Roche, develops AI and computational technologies to accelerate drug discovery and development. This role will build and maintain an agentic platform for molecule design, integrating machine learning models, scientific tools, data sources, and user-facing applications. The engineer will deploy production software, improve platform reliability, and collaborate with scientists, researchers, engineers, and drug discovery teams.

Responsibilities:

• Develop and maintain backend services, APIs, and user-facing applications for an agentic drug design platform
• Integrate machine learning models, scientific applications, databases, and internal services into reliable end-to-end workflows
• Implement agentic capabilities, including tool execution, workflow orchestration, state management, evaluation, and observability
• Build software that enables scientists to configure, run, inspect, and reproduce computational molecule design workflows
• Deploy models and scientific tools into secure, scalable, cloud-based production environments
• Write clean, maintainable, and well-tested code, and contribute to automated testing, documentation, code reviews, and CI/CD practices
• Monitor deployed services, troubleshoot issues, and improve platform reliability, performance, and usability
• Work closely with users to understand scientific needs, gather feedback, and translate requirements into practical software solutions
• Contribute to technical design decisions and the ongoing evolution of the platform’s architecture
• Develop familiarity with relevant drug discovery concepts and apply software engineering best practices in a scientific research environment