As a Research Engineer on the Reinforcement Learning Fundamentals team at Anthropic, the role involves advancing the capabilities and safety of large language models through fundamental AI research in reinforcement learning. The position involves developing reinforcement learning techniques, creating environments for models, and designing experiments to improve reasoning abilities in areas like code generation and mathematics.
Required skills include proficiency in Python, experience with deep learning frameworks like PyTorch or Jax, and a strong software engineering background. Useful additional skills include a background in machine learning, experience with Kubernetes, and contributions to open-source projects.
Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI.
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