Senior Machine Learning Engineer, AI Enablement

Role Overview

As a machine learning engineer in AI Enablement, you will work closely with Computational Scientists, Research Scientists, AI/ML experts, Product leaders, Dev Ops, and others to build, own, and continually improve scalable AI/ML systems that unlock the potential of our scientific data and accelerate the discovery and development of life-changing treatments for patients.

• Design, develop, and test robust, scalable, and maintainable AI/ML‑facing scientific web applications and backend systems.
• Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality.
• Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
• Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data‑driven initiatives.
• Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques.
• Contribute to architectural decisions, code reviews, and the evolution of our development processes.
• Be willing to span the stack and contribute where needed, even outside your core area of expertise.
• Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.

• Master's with 3–5 years or Bachelor’s with 4–7 years experience and a degree in Computer Science or similar technical field, or equivalent experience in machine learning engineering roles.
• Strong proficiency with AI/ML frameworks, libraries, and toolsets.
• Expert knowledge of statistics, machine learning theory, and algorithms.
• Strong knowledge of ML performance optimization, GPU best practices.
• Experience with Kubernetes, relational databases, No
  
  SQL databases, or data lakes, and experience working on cloud‑native architectures in public clouds (ideally AWS).
• Proven understanding and application of engineering best practices.
• Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.
• Ability to quickly acquire new technologies and programming languages and a passion for continuous learning.
• Preferred (but not required):
  Experience with imaging or biological data and processes.
• Experience working with scientists or in a research environment is advantageous.
• Experience with workflow automation, GenAI, and/or agents is a plus.

Onsite presence on our South San Francisco campus is expected for at least 3 days a week. Relocation benefits are available for this job posting.

Salary range for this position in California is $,900. A discretionary annual bonus may be available based on individual and company performance. Benefits are detailed in the company benefits program.

Genentech is an equal opportunity employer. We employ, promote, and otherwise treat all employees and applicants on the basis of merit, qualifications, and competence, in accordance with all applicable federal, state, and local laws.