Staff Research Engineer (Multi-Agent Scaling)

Join Anthropic, a leading AI safety and research company, as a Staff Research Engineer specializing in Multi-Agent Scaling. In this role, you will design and run large-scale experiments, investigate performance and efficiency changes, build and scale systems for large agent teams, and partner with research teams across the organization. You will have the opportunity to work at the intersection of research and engineering, making a significant impact on the future of AI.

Think quantitatively about complex systems, and think twice before trusting a number

Not all strong candidates will meet every single qualification as listed

Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work

About Anthropic

• We encourage you to apply even if you do not believe you meet every single qualification
• We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team
• We think AI systems like the ones we're building have enormous social and ethical implications

Responsibilities

• Design and run large-scale experiments on multi-agent teams, analyzing performance and efficiency as team size and compute grow.
• Build and scale the systems that run very large agent teams reliably, debugging failures that only appear at scale.
• Collaborate with research teams across the organization to enable them to run their own experiments on the platform, and communicate findings clearly.
• Care about the societal impacts of your work

Requirements

• Have owned something substantial end to end, such as a large system, an evaluation or benchmark, an agent product, or a research project
• Are results-oriented, with a bias towards flexibility and impact

Have clear written and verbal communication

• Can work from a vague question rather than a spec
• Have significant software engineering, ML or research engineering experience

Genuinely enjoy both research and engineering work

• Experience building or operating large-scale distributed systems, such as schedulers, sandboxed code execution, or inference and RL infrastructure
• Experience with scaling laws or other large-scale empirical research
• Built evaluations, benchmarks or harnesses for LLMs or agents
• A background in operations research, statistics, economics, physics, quantitative finance, or another field that models and optimizes complex systems
• Experience building complex agentic systems that use LLMs

Pay

USD 500,000 - 850,000