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Preference Model in San Francisco is seeking experienced Machine Learning Engineers to design and build reinforcement learning environments aimed at advancing model capabilities. The role blends research and engineering, requiring ownership of environment design and implementation.
Successful candidates will have strong ML fundamentals, proficiency in Python, and experience with either PyTorch or JAX. We offer competitive compensation, ownership in a fast-paced environment, and various employee benefits including health coverage and 401K matching.
Preference Model in San Francisco is seeking experienced Machine Learning Engineers to design and build reinforcement learning environments aimed at advancing model capabilities. The role blends research and engineering, requiring ownership of environment design and implementation.
Successful candidates will have strong ML fundamentals, proficiency in Python, and experience with either PyTorch or JAX. We offer competitive compensation, ownership in a fast-paced environment, and various employee benefits including health coverage and 401K matching.