Lead Multi-Agent AI Research Scientist

Anthropic Limited; San Francisco (CA); Hybrid; USD 500,000 - 850,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation & parental leave

Flexible working hours

Office in San Francisco

Job summary

Anthropic is hiring researchers to advance multi-agent systems and reinforcement learning at scale. You will train and optimize large groups of agents, design robust evaluation methods, and work closely with product teams to deploy agent-based solutions.

Ideal candidates will have deep expertise in RL with language models, experience training multi-agent systems, and a passion for building safe, societally beneficial AI. Hybrid office policy in San Francisco supports collaborative work.

Qualifications

• Bachelor's degree or equivalent in a relevant field.
• Experience with reinforcement learning, preferably at scale.
• Strong communication and collaboration across research and product teams.

Responsibilities

• Create and optimize environments and data for model training.
• Develop and compare agent harness configurations and architectures.
• Design rigorous benchmarks for large-scale agentic tasks.
• Collaborate with product teams to apply agents to products.

Skills

Large-scale RL

Multi-agent training

Research collaboration

Education

Bachelor's degree

Job description

Anthropic is hiring researchers to advance multi-agent systems and reinforcement learning at scale. You will train and optimize large groups of agents, design robust evaluation methods, and work closely with product teams to deploy agent-based solutions.

Ideal candidates will have deep expertise in RL with language models, experience training multi-agent systems, and a passion for building safe, societally beneficial AI. Hybrid office policy in San Francisco supports collaborative work.