Research Engineer, Knowledge Team

Anthropic; New York (NY); Hybrid; USD 350,000 - 850,000; Full time

Benefits offered by this job

Competitive compensation

Generous vacation and parental leave

Flexible working hours

Office space for collaboration

Job summary

Anthropic is seeking a Research Engineer to redesign how Claude interacts with external data sources. The successful candidate will design new information architectures, apply finetuning and reinforcement learning to language models, and collaborate with world-class ML researchers. A Bachelor’s degree in a relevant field and experience with Python and LLMs are required. The position offers a competitive salary ranging from $350,000 to $850,000 USD annually, along with flexible working hours and comprehensive benefits.

Qualifications

• Experienced in programming with Python and creating high-quality code.
• Strong background in machine learning and LLMs.
• Ability to collaborate effectively and communicate clearly.

Responsibilities

• Design and implement new information architecture strategies.
• Perform finetuning and reinforcement learning for LLMs.
• Build evaluation sets to identify language model failure modes.
• Design advanced search capabilities.

Skills

Python programming

Machine learning research

Large Language Models

Communication skills

Education

Bachelor’s degree or equivalent

Job description

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

Annual Salary

$350,000—$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.

Benefits

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.