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Machine Learning Researcher
Harnham
- South San Francisco, California, United States
- South San Francisco, California, United States
Über
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
Sprachkenntnisse
- English
Hinweis für Nutzer
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