Anthropic · San Francisco/New York City/Seattle · Hybrid
Research Engineer / Scientist, Tool Use
2.4.2025
Description
- Define and pursue research agendas that push the boundaries of what's possible
- Design and implement novel reinforcement learning environments and methodologies that push the state of the art of tool use
- Build rigorous, realistic evaluations that capture the complexity of real-world tool use
- Ship research advances that directly impact millions of users
- Collaborate with other frontier research and product teams to drive fundamental breakthroughs in capabilities and safety, and work with teams to ship these into production
- Design, implement, and debug code across our research and production ML stacks
- Contribute to our collaborative research culture through pair programming, technical discussions, and team problem-solving
Qualifications
- Are driven by real-world impact and excited to see research ship in production
- Have strong machine learning research/applied-research experience, or a strong quantitative background such as physics, mathematics, or quant research
- Write clean, reliable code and have solid software engineering skills
- Communicate complex ideas clearly to diverse audiences
- Are passionate about building AI systems that are both powerful and safe
- Are hungry to learn and grow, regardless of years of experience
- Experience with reinforcement learning techniques and environments
- Experience with language model training, fine-tuning or evaluation
- Experience building AI agents or autonomous systems
- Published influential work in relevant ML areas
- Deep expertise in a specific area (e.g., exceptional RL research, systems engineering, or mathematical foundations) even if still developing in other areas
- Experience shipping features or working closely with product teams
- Enthusiasm for pair programming and collaborative research
Benefits
$315,000 - $425,000 USD