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

- Company: Genentech
- What the company does: Genentech discovers, develops, manufactures and commercializes treatments for patients with serious and life-threatening medical conditions. Backed by North Carolina Biotechnology Center.
- Company website: https://gene.com
- Type: Startups (AI role)
- Level: Senior
- Location: 2 Locations
- Work setup: On-site
- Pay: $148K to $274K base salary per year (USD)
- Posted: 2026-09-25
- Apply by: 2026-11-09
- Apply: https://roche.wd3.myworkdayjobs.com/en-US/ROG-A2O-GENE/job/South-San-Francisco/Software-Development-Engineer-Senior-Software-Development-Engineer--Agentic-Systems--AI-for-Drug-Discovery_202607-118950
- Page: https://www.1752.vc/careers/jobs/genentech-machine-learning-engineer-senior-machine-learning-engineer-agentic-sys/

## About the role

Within AI for Drug Discovery, the Software Engineering team builds and operates software platforms that put advanced models and computational tools into the hands of scientists. Our focus is on developing technology and deploying reliable, intuitive solutions that are adopted by users and create measurable impact across drug discovery. We are seeking a very talented Machine Learning Engineer to help build our agentic platform for molecule design.

## What they're looking for

- You are proficient in Python and have strong software engineering fundamentals, including API design, automated testing, data modeling, and system design
- You have experience independently delivering production software from technical design and implementation through deployment, monitoring, and ongoing support
- You have built backend services, platform capabilities, developer tools, or user-facing applications in a cloud environment
- You are comfortable working with relational databases, asynchronous workflows, containers, version control, and CI/CD practices
- You can translate user and scientific needs into practical technical solutions and communicate effectively with engineers, researchers, product managers, and domain experts
- You are interested in AI-enabled applications and in integrating models, scientific tools, and data into reliable workflows