Machine Learning Researcher
Harnham
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.
- 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
Vacancy posted 7 hours ago
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