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Be ready to discuss production ML tradeoffs, enablement vs. pure research roles, and working with non-ML scientists. Expect system-design and coding for pipelines/services; ask how AI Enablement is scoped post-gRED reorganization and how success is measured for internal adoption.
Strong fit if you want on-site biotech ML at gene.com’s SSF campus and enjoy enabling others more than solo Kaggle-style work. Less fit if you need remote-only or pure consumer-tech product ML without regulated R&D context.
As a Senior Machine Learning Engineer focused on AI Enablement at Genentech, expect work that helps research and development teams adopt ML systems: scoping use cases with scientists, hardening models and data pipelines for regulated biotech settings, and partnering with platform and product stakeholders so models ship reliably into internal tools—not inventing patient-facing products alone.
No occupation or cert list was provided. For this title, prioritize production ML (Python, experiment tracking, model serving), data quality for scientific workflows, and clear enablement skills—teaching and standards—over collecting certificates.
The listing marks remote as no; expect South San Francisco / San Mateo County on-site work at Genentech’s headquarters area.
It is a major biotech company (founded 1976), Roche subsidiary, focused on biologic medicines and research; gRED is its independent research and early-development arm.
Multiple outlets reported ~103 job cuts at the SSF HQ alongside a ~$490M Astex breast-cancer collaboration—worth asking how AI Enablement is staffed and prioritized.
Website: gene.com
Genentech, Inc. is an American biotechnology corporation headquartered in South San Francisco, California. It operates as an independent subsidiary of holding company Roche. Genentech Research and Early Development operates as an independent center within Roche. Historically, the company is regarded as the world's first biotechnology company.
Public cache only — not an employee review.
Join Genentech as a Senior Machine Learning Engineer, AI Enablement in South San Francisco, where you'll architect machine learning solutions that accelerate drug discovery and advance healthcare innovation at a world-class biotech organization. About the Role We're seeking an experienced Senior Machine Learning Engineer to lead the design, development, and deployment of AI and machine learning systems that enable scientists and researchers across the organization. You'll take ownership of building robust, scalable ML infrastructure and platforms that integrate into our research and development workflows, driving measurable impact on drug development timelines and scientific outcomes. What You'll Do Design and implement machine learning models and algorithms that solve complex problems in drug discovery, molecular biology, and healthcare applications Build and maintain ML infrastructure, data pipelines, and production systems that support research teams across the organization Collaborate with scientists, computational biologists, and software engineers to translate research requirements into scalable ML solutions Optimize model performance, evaluate trade-offs between accuracy and computational efficiency, and implement best practices for model governance and validation Mentor junior engineers and contribute to technical standards and architectural decisions for AI/ML systems Stay current with advances in machine learning, deep learning, and AI methodologies, and evaluate emerging technologies for organizational adoption What We're Looking For 5+ years of professional experience building and deploying machine learning systems in production environments Strong foundation in machine learning, statistics, and software engineering best practices Proficiency with ML frameworks, data processing tools, and cloud platforms Demonstrated ability to work cross-functionally with domain experts and translate complex requirements into technical solutions Excellent problem-solving skills and attention to quality in both code and scientific rigor Experience in life sciences, healthcare, or research environments is a plus About Genentech Genentech is a pioneering biotechnology company dedicated to advancing science and expanding access to transformative healthcare solutions. We believe that great science drives innovation, and we invest in talented teams that push the boundaries of what's possible in medicine and biology. How to Apply Ready to make an impact? Apply today through this job listing to join our AI Enablement team in South San Francisco.
Generated for personal interview prep · 2026-07-17 UTC · getajob.ai