
Research Engineer, Model Evaluations
About this role
Anthropic is currently seeking a Research Engineer for Model Evaluations to design critical assessments that measure and validate the capabilities of Claude. This remote-friendly position, with options in San Francisco or New York, is ideal for technical professionals passionate about building reliable artificial intelligence systems.
Role Overview
In this capacity, the professional will turn ambiguous ideas of machine intelligence into clear, defensible metrics that leadership, researchers, and the public can trust. The position involves designing evaluations across Claude's personality and capabilities, creating distributed infrastructure to run these assessments at scale, and partnering with researchers throughout training cycles to interpret live results.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Anthropic is a public benefit corporation headquartered in San Francisco, working as a single cohesive team on large-scale research efforts. The organization focuses on creating reliable, interpretable, and steerable artificial intelligence systems that remain beneficial for society. The workplace operates under a location-based hybrid policy where staff spend at least 25 percent of their time in office.
How to Apply
Interested candidates should review the official Anthropic careers page to submit an application and learn more about current opportunities.
Skills and tech stack
Questions candidates ask
What is the salary range for the Research Engineer role?
The annual base salary for this position ranges from $500,000 to $850,000 USD.
Where is the position located?
This role is remote-friendly with required travel, featuring office locations in San Francisco, CA, and New York City, NY.
Does Anthropic offer visa sponsorship?
Yes, Anthropic sponsors visas for eligible candidates and retains an immigration lawyer to assist with the process when an offer is made.
What are the primary programming requirements?
Candidates must have strong Python programming skills, including experience with research or production infrastructure.
What is the hybrid work policy?
Staff are generally expected to work from an office at least 25 percent of the time, though specific role requirements may vary.