Research Engineer, Discovery (AI)

Location: San Francisco, CA; hybrid policy requires staff to be in one of the offices at least 25% of the time

Annual salary: $350,000–$850,000 USD

Company

Anthropic is a public benefit corporation building reliable, interpretable, and steerable AI systems, with a research focus on developing an AI scientist.

What you will do

• Design large-scale infrastructure for AI scientist training, evaluation, and deployment across distributed environments.
• Identify and resolve infrastructure bottlenecks affecting scientific AI capabilities.
• Develop evaluation frameworks for measuring progress toward scientific AGI.
• Build scalable VM, sandboxing, and container architectures for long-horizon AI tasks and scientific workflows.
• Translate experimental requirements into production-ready infrastructure and develop large-scale data pipelines.
• Optimize training and inference pipelines for stable and efficient reinforcement learning.

Requirements

• 6+ years of highly relevant infrastructure engineering experience with expertise in large-scale distributed systems.
• Deep knowledge of performance optimization and system architectures for high-throughput ML workloads.
• Experience with Docker, Kubernetes, containerization, and orchestration at scale.
• A proven track record building large-scale data pipelines and distributed storage systems.
• Ability to diagnose complex production infrastructure issues and work across the full ML stack.
• Bachelor’s degree or equivalent education, training, or experience in a relevant field.

Nice to have

• Experience with language model training infrastructure and distributed ML frameworks such as PyTorch or JAX.
• Background in AI research labs or large-scale ML organizations.
• Knowledge of GPU/TPU architectures, language model inference optimization, and enterprise-scale AWS or GCP.
• Experience with workflow orchestration, experiment management, reinforcement learning, or Beam, Spark, and Dask.

Culture & Benefits

• Collaborative research environment organized around a small number of large-scale efforts.
• Frequent research discussions and emphasis on communication and interdisciplinary collaboration.
• Flexible working hours and an office-based collaboration environment.
• Generous vacation and parental leave.
• Competitive compensation and optional equity donation matching.

Hiring process

• Applications are evaluated based on relevant qualifications; candidates are encouraged to apply even if they do not meet every listed requirement.
• Anthropic provides immigration lawyer support and sponsors visas when feasible for the role and candidate.