Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Anthropic Fellows Program is designed to foster AI research and engineering talent, providing funding and mentorship to promising technical talent regardless of prior experience. Fellows work on empirical projects using external infrastructure to produce public outputs such as papers. The program spans four months, with a weekly stipend of 3,850 USD and benefits that vary by country. Fellows receive funding for compute and research expenses, access to shared workspaces in London or Berkeley, and mentorship from Anthropic researchers. The program encourages diversity and offers flexible working hours, generous vacation and parental leave, and optional equity donation matching.
Anthropic Fellows Program, ML Systems & Performance at Anthropic
Remote - London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
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From USD 3,850
Requirements
Skills
- Fluent in Python programming
- Available to work full-time on the Fellows program
- Strong technical background in computer science, mathematics, or physics
- Strong background in a discipline relevant to a specific Fellows workstream (e.g., economics, social sciences, cybersecurity)
- Experience in areas of research or engineering related to their workstream
Responsibilities
- Work on an empirical project aligned with Anthropic’s research priorities using external infrastructure (open-source models, public APIs)
- Produce a public output such as a paper submission
- Build CPU simulators for accelerator workloads
- Add backends for different accelerators on an open source project
- Build on-demand infrastructure for other infrastructure-heavy fellows projects
- Build complex synthetic data or environment pipelines
- Implement ideas quickly and communicate clearly
Technologies
Pythonopen-source modelspublic APIsCPU simulatoraccelerator workloadssynthetic data pipelines
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