# Machine Learning Scientist/Senior Machine Learning Scientist - Agents for Applied Small Molecule Drug Design, 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: 2026-09-28
- Apply by: 2026-11-12
- Apply: https://roche.wd3.myworkdayjobs.com/en-US/ROG-A2O-GENE/job/San-Francisco/Machine-Learning-Scientist---Agents-for-Applied-Small-Molecule-Drug-Design_202606-115525-1
- Page: https://www.1752.vc/careers/jobs/genentech-machine-learning-scientist-senior-machine-learning-scientist-agents-fo/

## About the role

Design, build, and apply agentic workflows and ML models for key challenges in small-molecule drug design. Fine-tune foundation models for drug discovery relevant topics using internal and external datasets and tools.

## What they're looking for

- You are experienced developing LLM-driven agents for scientific workflows and you understand how to orchestrate tools and models reliably
- You bring strong machine-learning foundations in linear algebra, probability and optimization, with hands-on experience with GNNs, sequence/language models and reinforcement learning
- You are fluent in Python and modern agentic coding environments such as LangChain, ML frameworks such as PyTorch or JAX, as well as cheminformatics toolkits like RDKit or OpenEye
- You have a record of scientific excellence evidenced by journal and conference publications or a public portfolio of relevant projects (e.g. hosted on GitHub/GitLab)