Machine Learning, Research Engineer (Horizons) at Anthropic

The position is hybrid.

This information is not specified in the job description.

Key skills include architecting and optimizing reinforcement learning infrastructure, designing training environments and methodologies for RL agents, implementing efficient caching and debugging distributed systems, and proficiency in profiling, optimization, and benchmarking.

The team is a quickly growing group of committed researchers and engineers at the intersection of cutting-edge research and engineering excellence, with close collaboration across research, engineering, alignment, and production teams to build high-quality, scalable, safe AI systems.

Strong candidates blend research and engineering skills, with experience implementing novel RL approaches, scaling systems for complex workflows on GPU clusters, and contributing to research direction in areas like agentic models, tool use, and reasoning improvements.