Machine Learning Scientist, Reinforcement Learning at Profluent

Profluent is hiring a Machine Learning Scientist to develop reinforcement learning algorithms for protein design and contribute to generative modeling research across language processing, representation learning, and protein engineering. The role involves designing online and offline algorithms, adapting techniques from other domains, building infrastructure for protein language model post-training, curating datasets, evaluating models, and collaborating with computational and experimental scientists. Candidates should have a PhD or equivalent industry experience in a relevant field, experience with novel machine learning and reinforcement learning techniques, publications at major conferences or journals, and experience with PyTorch or Jax. The position offers a salary range of $212,000 to $339,000 USD, equity participation, health, dental, and vision insurance, and other benefits.