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Machine Learning Scientist, Reinforcement Learning
Posted 3 days ago
Job summary
Profluent is seeking a Machine Learning Scientist with expertise in reinforcement learning and generative models to innovate in protein design. The role involves developing cutting-edge algorithms, collaborating with interdisciplinary teams, and leveraging deep learning frameworks like PyTorch and Jax.
Responsibilities
Design and develop state-of-the-art online and offline reinforcement learning algorithms for protein design. Collaborate with interdisciplinary teams to optimize core infrastructure and evaluate generative models for biomolecular applications.
Qualifications
Requires a PhD or equivalent industry experience in Computer Science, ML, or a related field with a track record of publications at major ML conferences. Proficiency in modern deep learning frameworks like PyTorch or Jax is essential.
Benefits
- Equity Participation
- 401(k) With Employer Match
- Health Insurance
- Dental Insurance
- Vision Insurance
- Generous PTO
- Professional Development Opportunities
Company
Profluent
- Location
- Emeryville, California, United States
- Website
- profluent.bio
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