
People Research Scientist, Recruiting
About this role
Role Overview
The People Research Scientist, Recruiting role at Anthropic involves joining the People Data Solutions team to drive evidence-based talent decisions across the organization. This position is based in San Francisco, CA, New York City, NY, or Seattle, WA, and suits professionals experienced in organizational science and people strategy who want to impact a leading AI safety company.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Anthropic is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society. Operating as a quickly growing group of committed researchers, engineers, policy experts, and business leaders, the organization approaches AI research as an empirical science. Staff work collaboratively on large-scale research efforts in a hybrid model requiring time in offices.
How to Apply
To apply for this position, please visit the official Anthropic careers page.
Skills and tech stack
Questions candidates ask
What locations is this role available in?
This position is located in San Francisco, CA, New York City, NY, or Seattle, WA, operating under a location-based hybrid policy.
What is the salary range for the People Research Scientist role?
The annual salary range for this role is $285,000 to $380,000 USD.
What educational background is required?
Candidates must hold an advanced degree, such as a Master’s or PhD, in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field.
Is visa sponsorship available?
Yes, Anthropic sponsors visas and retains an immigration lawyer to assist candidates when an offer is made and sponsorship is feasible.
What technical skills are needed for this position?
Candidates must be proficient in SQL and Python or R, have experience in statistical analysis and machine learning, and be comfortable working within the People Analytics tech stack.