Research Engineer, Machine Learning (AI)

TL;DR

Research Engineer, Machine Learning (AI): Collaborating with a diverse team to advance the capabilities and safety of large language models with an accent on reinforcement learning and scalable systems. Focus on implementing novel approaches and contributing to research direction in AI.

Location: Hybrid (San Francisco)

Company

Anthropic is a public benefit corporation focused on creating reliable and interpretable AI systems.

What you will do

• Architect and optimize core reinforcement learning infrastructure.
• Design, implement, and test novel training environments for reinforcement learning agents.
• Drive performance improvements through profiling, optimization, and benchmarking.
• Collaborate across teams to develop automated testing frameworks and scalable infrastructure.

Requirements

• Proficient in Python and async/concurrent programming.
• Experience with machine learning frameworks (PyTorch, TensorFlow, JAX).
• Industry experience in machine learning research.
• Strong systems design and communication skills.