Staff Research Engineer: Large-Scale Multi-Agent Systems

Anthropic Limited; Seattle (WA); On-site; USD 500,000 - 850,000; Full time

Benefits offered by this job

Generous vacation and parental leave

Flexible working hours

Office in San Francisco

Optional equity donation matching

Job summary

Anthropic Limited is seeking a generalist role at the intersection of research and engineering. You will design and run large experiments, build the systems they run on, and uncover surprising results quickly.

This role involves taking vague questions to running experiments and scaling large agent teams on our platform. We value members who enjoy both research and engineering, think quantitatively, and can communicate findings clearly.

Qualifications

• Significant software engineering, ML or research engineering experience.
• Owned something substantial end to end, such as a large system, an evaluation or benchmark, an agent product, or a research project.
• Genuinely enjoy both research and engineering work.
• Think quantitatively about complex systems, and think twice before trusting a number.
• Can work from a vague question rather than a spec.
• Are results-oriented, with a bias towards flexibility and impact.
• Have clear written and verbal communication.
• Care about the societal impacts of your work.

Responsibilities

• Design, run and interpret large-scale experiments on agent teams, reasoning rigorously about what the data does and doesn't show.
• Investigate how performance and efficiency change as team size, compute and task horizon grow, and find the bottlenecks that limit them.
• Build and scale the systems that run very large agent teams reliably, and debug the failures that only appear at scale.
• Design evaluations for long-horizon problems, and keep their results trustworthy.
• Build the tooling and metrics that let researchers see what a large agent team is doing and why.
• Partner with research teams across Anthropic so they can run their own experiments on the platform, and communicate findings clearly.

Skills

Software engineering

ML/Research engineering

Quantitative reasoning

Communication skills

Vagueness-to-action

End-to-end ownership

Hybrid collaboration

Education

Bachelor’s degree or equivalent

Job description

Anthropic Limited is seeking a generalist role at the intersection of research and engineering. You will design and run large experiments, build the systems they run on, and uncover surprising results quickly.

This role involves taking vague questions to running experiments and scaling large agent teams on our platform. We value members who enjoy both research and engineering, think quantitatively, and can communicate findings clearly.