We are building advanced agentic systems using Claude‑powered large language models to perform complex, end‑to‑end tasks across various domains. This role focuses on designing harnesses, creating rigorous benchmarks, evaluating models, collaborating with product teams, and optimizing data mixes to improve agent performance and integration.
Research Engineer, Agents en Anthropic
Híbrido - Remote
Más vacantes en AnthropicSalary
USD 500,000 - 850,000
Requirements
Skills
- Bachelor's degree or equivalent combination of education, training, and/or experience
- Experience developing complex agentic systems using LLMs
- Significant software engineering and ML experience
- Time prompting and/or building products with language models
- Good communication skills and an interest in working with other researchers on difficult tasks
- Passion for making powerful technology safe and societally beneficial
- Active interest in emerging research and industry trends
- Enjoys pair programming
- Large-scale RL on language models
- Multi-agent systems
Responsibilities
- Ideate, develop, and compare the performance of different agent harnesses (e.g., memory, context compression, communication architectures for agents)
- Design and implement rigorous quantitative benchmarks for large scale agentic tasks
- Assist with automated evaluation of Claude models and prompts across the training and product lifecycle
- Work with the product org to find solutions to our most vexing challenges applying agents to our products
- Help create and optimize data mixes for model training that maximize Claude’s performance or ease of use on agentic tasks
Technologies
Large Language Models (LLMs)ClaudeReinforcement Learning (RL)Multi-agent systems
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