Machine Learning Researcher

Location

Fully remote or optional hybrid in South SF - Strong preference to PST or MST.

Our client is a fast-growing, AI-driven biotech research startup based in SF with more than $50 million in funding from a pharmaceutical giant.

As a Machine Learning Research Scientist, you will:

• Design, implement, and train foundation models with multimodal bio data.
• Continually improve the robustness of existing codebase through refactoring, testing, and best engineering practices.
• Rapidly prototype research ideas to determine best research approaches.
• Apply our ML pipeline to new drug targets, ensuring state-of-the-art performance and scalability.

• Ph.D. in Computer Science or Mathematics (Master's degree acceptable if qualifications below are met).
• First-author publications in journals like NeurIPS, ICLR, ICML, ECCV, CVPR, ICCV, or ACM.

Deep experience in areas like:

• Foundation models
• Self-supervised learning
• Multimodal learning
• Autoregressive models

2 years of experience developing robust code in larger projects, including:

• Code review & refactoring
• Unit testing & version control
• Collaborative software development
• Strong Python and PyTorch expertise