Senior Machine Learning Scientist

Job overview

The Senior Machine Learning Scientist role is hybrid, with onsite presence at least three days per week in South San Francisco, CA. Pay is $200,000–$275,000 per year. Tahoe Therapeutics is a biotechnology company applying patient-derived biological data and machine learning to drug discovery. The scientist leads development of foundation models for gene regulatory networks using large-scale single-cell datasets. The role applies and advances machine learning methods, integrates chemical and biological data, and collaborates with biologists and engineers to test research hypotheses that support drug discovery.

What you'll do

• Develop and apply machine learning methods for multimodal foundation models bridging chemical and biological domains
• integrate models of chemical structure, target protein sequence, and whole-transcriptome single-cell RNA sequencing
• track and adopt state-of-the-art machine learning and computational biology techniques
• collaborate with biologists and engineers in cross-functional pods to test machine-learning-driven hypotheses.

What we're looking for

Skills & competencies

senior machine learning scientist

south san francisco ca

tahoe therapeutics

biotechnology

drug discovery

foundation models

gene regulatory networks

single-cell data

deep learning

pytorch

jax

tensorflow

hybrid

visa sponsorship available

Work arrangement

• Weekend coverage required

Benefits & perks

• Unlimited paid time off, monthly lunch budget, one-time office setup budget, and medical, vision, and dental plans for employees and dependents.

Why this role

The posting welcomes applicants requiring visa sponsorship and offers work authorization support for qualified candidates.

About the employer

Tahoe Therapeutics is hiring for this role. Industry: Research and Development in Biotechnology (except Nanobiotechnology). Sector: 54.