Research Engineer, Knowledge Team

About the Role

Anthropic is looking for Research Engineers to help redesign how Claude interacts with external data sources. Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures.

Responsibilities

• Designing and implementing from scratch new information architecture strategies
• Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures
• Building "hard" knowledge base eval sets to help identify failure modes of how language models work with external data
• Designing and evaluating advanced agentic search capabilities

Qualifications

• Very experienced Python programmer who can quickly produce reliable, high quality code
• Good machine learning research experience
• Experience developing software that utilizes Large Language Models such as Claude
• Results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming
• Want to partner with world-class ML researchers to develop new LLM capabilities
• Care about the societal impacts of your work
• Clear written and verbal communication

Bonus Qualifications

• Collaborating with product teams to quickly prototype and deliver innovative solutions
• Building complex agentic systems that utilize LLMs
• Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.