# Staff+ Research Scientist, Multi-Agent at Anthropic

Anthropic is hiring a Staff+ Research Scientist, Multi-Agent in San Francisco, New York and Seattle, United States. It pays $500k-$850k a year and Level rates it Builds AI ●●●●; you can [apply on Anthropic](https://jobsbylevel.com/go/c270ee20-612b-4b63-81a0-e1eda5448a17?utm_medium=ai-agent).

AI Level 4, AI centrality 87 out of 100. San Francisco, CA | New York City, NY | Seattle, WA.

## Details

- Company: [Anthropic](https://jobsbylevel.com/companies/anthropic)
- AI level: AI Level 4 (score 87 out of 100)
- Location: San Francisco, CA | New York City, NY | Seattle, WA
- Salary: $500k-$850k
- Posted: April 22, 2024
- Apply: https://jobsbylevel.com/go/c270ee20-612b-4b63-81a0-e1eda5448a17?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=staff-research-scientist-multi-agent-at-anthropic-e84a1f

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/staff-research-scientist-multi-agent-at-anthropic-e84a1f

## Description

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Multi-Agent systems are becoming an increasingly important part of how AI is deployed, whether via fast small-model subagents inside a product, or large groups of agents solving very large problems . Training Claude to be maximally effective and safe within large groups is a challenging new area of reinforcement learning, and represents a new axis for scaling test time compute. We are looking for researchers who have experience training multi-agent systems at the largest scale and an appreciation for the incentives and mechanism design that come into play. Responsibilities: Help create and optimize environments and data for model training that maximize Claude’s performance or ease of use on agentic tasks Ideate, develop, and compare the performance of different agent harness configurations (eg memory, context management, communication architectures for agents) Design and implement rigorous quantitative benchmarks for large scale agentic tasks Work with our product org to find solutions to our most vexing challenges in applying agents to our products You may be a good fit if you: Have experience with large-scale RL on language models Have experience training multi-agent systems Enjoy going deeply into the roots of a problem and understanding its foundations, rather than its surface. Have good communication skills and an interest in working with other researchers on difficult tasks Have a passion for making powerful technology safe and societally beneficial Are excited for a mission-driven org with fast-paced, impactful work Representative projects: Design and build reinforcement learning environments to train groups of Claudes how to solve problems together efficiently Design and build agent affordances that unlock new capabilities and scales of agents, while keeping the Bitter Lesson in mind Design and build a novel eval that measures how large teams of agents interact in groups to solve problems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet

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Source: https://jobsbylevel.com/jobs/staff-research-scientist-multi-agent-at-anthropic-e84a1f

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