Primary record

People Research Scientist, Recruiting

Anthropic Indexed employerSan Francisco, CA | New York City, NY | Seattle, WA · San Francisco, California, United States
Source-hosted applyChecked 3h agoInternship
Apply at Anthropic

Anthropic receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

hybrid

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

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 seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization.

This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company.

Responsibilities

Research design & scientific inquiry

Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire

Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods

Conduct mixed-method research to understand what are the drivers and blockers to recruiting operations.

Navigate research ethics considerations when studying candidate data, ensuring responsible research practices

Selection & assessment research

D

Requirements

Department: People