Machine Learning Research Scientist

Title: ML Scientist

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

About the Role

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.

Responsibilities

As a Machine Learning Research Scientist, you will:

• Design, implement, and train foundation models with multimodal bio data.

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• 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.

Requirements

• 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, ECCV, or ACM).

Expertise in Machine Learning, with 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