Primary record

Anthropic Fellows Program, ML Systems & Reinforcement Learning

Anthropic Indexed employerLondon, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA · British Columbia, Canada · London, England, United Kingdom · Ontario, Canada · Remote-Friendly US (Travel Required) · San Francisco, California, United States
Source-hosted applyChecked 3h agoPart-Time
Apply at Anthropic

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Workplace

hybrid

Employment

Part-Time

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.

Apply using this link . We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you.

This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting .

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.

What to expect

• 4 months of full-time research

• Direct mentorship from Anthropic researchers

• Access to a shared workspace (in either Berkeley, California or London, UK)

• Connection to the broader AI safety and security research community

• Week

Requirements

Department: AI Research & Engineering