Research Engineer, Knowledge Team

Anthropic; San Francisco (CA); Hybrid; USD 350,000 - 850,000; Full time

Benefits offered by this job

Competitive compensation

Generous vacation and parental leave

Flexible working hours

Optional equity donation matching

Job summary

Anthropic is seeking Research Engineers based in San Francisco to innovate the interaction of Claude with external data sources. The job involves designing new information architectures and training language models for optimal use of these architectures. Candidates need strong Python programming skills and machine learning research experience. The offered annual salary ranges from $350,000 to $850,000, with benefits including flexible working hours and generous leave policies.

Qualifications

• Proven experience in Python programming with high-quality outcomes.
• Strong background in machine learning research.
• Experience developing software using Large Language Models.

Responsibilities

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

Skills

Python programming

Machine learning research

Large Language Models

Team collaboration

Results-oriented flexibility

Clear communication

Education

Bachelor’s degree or equivalent

Job description

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

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.