Research Engineer, Discovery

Anthropic is a public benefit corporation headquartered in San Francisco, focused on creating reliable, interpretable, and steerable AI systems. The team is organized around the north star goal of building an AI scientist.

As a Research Engineer on the Discovery team, you will work end to end across the whole model stack, identifying and addressing key infrastructure blockers on the path to scientific AGI. This includes performance optimization, distributed systems, VM/sandboxing/container deployment, and large-scale data pipelines.

• Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments.
• Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities.
• Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI.
• Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows.
• Collaborate to translate experimental requirements into production-ready infrastructure.
• Develop large-scale data pipelines to handle advanced language model training requirements.
• Optimize large-scale training and inference pipelines for stable and efficient reinforcement learning.

6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems. Strong communication, performance optimization, containerization (Docker, Kubernetes), large-scale data pipelines, and distributed storage. Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX) is a plus. Cloud platforms (AWS, GCP) at enterprise scale, GPU/TPU architectures, workflow orchestration, and large-scale reinforcement learning are also valued.

Annual salary range: $350,000—$850,000 USD.

Based in San Francisco, CA. Anthropic expects all staff to be in one of its offices at least 25% of the time.

Apply via the Greenhouse job posting.