Machine Learning Scientist, Reinforcement Learning

Profluent
Emeryville, California, United States
Full Time
Hybrid
Senior
USD 200,000 – 330,000
Postgraduate Degree
Science & Research Healthcare Life Sciences

Posted 3 days ago

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Excellent 4.7

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

biomolecular modeling deep learning generative models Jax machine learning natural language processing protein design Python PyTorch reinforcement learning

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.

English

Benefits

  • Equity Participation
  • 401(k) With Employer Match
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Generous PTO
  • Professional Development Opportunities

Company

Profluent

Profluent

Biotechnology Research
Location
Emeryville, California, United States

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Excellent 4.7
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