Senior ML Scientist: Protein AI for Drug Discovery

Genentech; San Francisco (CA); On-site; USD 167,000 - 311,000; Full time

Job summary

Genentech, a Roche subsidiary, seeks a Senior Machine Learning Scientist to advance AI-driven drug discovery within the AIDD group of gRED. You will design and apply ML models for antibody discovery and work with computational and experimental teams to drive impact.

The role requires expertise with large datasets, Python ML frameworks (including PyTorch), and a track record of publications. You will contribute to high‑value medicines and collaborate across disciplines.

Qualifications

• BS, MS or PhD in physical sciences or quantitative field or equivalent industry research experience
• Experience with large datasets including graphs, sequences and 3D point clouds
• First-author publication in a scientific journal or ML conference
• Public portfolio on GitHub
• Excellent communication and interpersonal skills
• Independent, self-starter who collaborates well
• Experience with PyTorch and modern Python ML frameworks

Responsibilities

• Develop generative and representation learning ML models for protein and antibodies in zero-shot and few-shot regimes
• Collaborate with scientists across disciplines to build impactful technologies for drug discovery
• Build and scale ML techniques to large datasets
• Contribute to and drive publications, present results at conferences

Skills

PyTorch

Python

GitHub

Communication skills

Collaboration

Independent

Research experience

Education

BS/MS/PhD in physical sciences or quantitative field

Tools

Genentech Tech Stack

Job description

Genentech, a Roche subsidiary, seeks a Senior Machine Learning Scientist to advance AI-driven drug discovery within the AIDD group of gRED. You will design and apply ML models for antibody discovery and work with computational and experimental teams to drive impact.

The role requires expertise with large datasets, Python ML frameworks (including PyTorch), and a track record of publications. You will contribute to high‑value medicines and collaborate across disciplines.