Machine Learning Scientist, Reinforcement Learning

Highlights

• Drive reinforcement learning research for biomolecular and protein design.
• Develop online and offline RL algorithms for protein design tasks.
• Help shape post-training infrastructure for protein language models.

What they offer

• High-growth opportunity with meaningful impact on protein design
• Competitive compensation package with equity participation
• 401(k) with strong employer match
• Comprehensive health, dental and vision insurance
• Generous PTO and commitment to work-life balance
• Professional development at intersection of AI and biology

Ideal candidate

Self-directed, creative researcher passionate about generative modeling for biology who thrives collaborating across ML and experimental science to shape frontier protein design.

Requirements

• PhD or equivalent experience in Computer Science, ML, NLP, Applied Math, Computational Biology, Statistics or related field
• Experience conceiving, implementing and evaluating novel ML and reinforcement learning techniques
• Publications at major ML conferences or scientific journals
• Experience with modern deep learning frameworks such as PyTorch or JAX