Posted by employer 2 years ago
First seen on Joblaze 5 months ago
Last verified on the company career page 42 minutes ago
Skills & Technologies
Requirements
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Not disclosed in this posting: years of experience.
Benefits
Joblaze summary
In this role, the Research Engineer will focus on redesigning information architectures to enhance how Claude interacts with external data sources, employing techniques like finetuning and reinforcement learning. Proficiency in Python and experience with large language models are essential, alongside a strong background in machine learning research. This position is ideal for seasoned professionals who thrive in collaborative environments and are passionate about the societal implications of AI. Anthropic emphasizes teamwork and impactful research, making it a unique setting for innovation.
Joblaze insights
- Listed about 5 months ago — first seen on Joblaze May 7, 2026. Last confirmed on Anthropic's careers page October 10, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 96% of 113 comparable mid ai/ml roles in United States that list Python we track (median $150,000 across 49 companies). See Python salary trends
- Python appears in 48% of 465 comparable mid ai/ml roles in United States; Large Language Models appears in 3% of 465 comparable mid ai/ml roles in United States.
Quick facts
- Is the Research Engineer, Knowledge Team role remote?
- It's hybrid — Anthropic expects some on-site time in Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY.
- What's the salary range?
- Anthropic lists $350,000–$850,000 for this role.
- Where is the role based?
- Anthropic is hiring for this position in Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Large Language Models, Machine Learning, Python.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Engineer, Knowledge Team role at Anthropic.
From the original posting
About Anthropic
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.
Logistics
Standard company text repeated across Anthropic's postings is omitted here.