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:
We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! 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.
You may be a good fit if you:
- Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using
- Have good machine learning research experience
- Have experience developing software that utilizes Large Language Models such as Claude
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Enjoy pair programming (we love to pair!)
- Want to partner with world-class ML researchers to develop new LLM capabilities
- Care about the societal impacts of your work
- Have clear written and verbal communication
Strong candidates will also have experience with:
- 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
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.
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 imm…
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