Anthropic Fellows Program — ML Systems & Performance
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.
What this role actually needs.
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. Responsibilities: - AI Safety Fellows - AI Security Fellows - ML Systems & Performance Fellows - Reinforcement Learning Fellows - Economics & Societal Impacts Fellows Benefits: - Funding for compute (~$15k/month) and other research expenses Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.
Day-to-day expectations
Anthropic lists these responsibilities for the Anthropic Fellows Program — ML Systems & Performance role.
- AI Safety Fellows
- AI Security Fellows
- ML Systems & Performance Fellows
- Reinforcement Learning Fellows
- Economics & Societal Impacts Fellows
Why people would want this job
Anthropic published these compensation, benefits, or working-context details with the role.
- Funding for compute (~$15k/month) and other research expenses
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Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
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- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to anthropic fellows program — ml systems & performance is a high-signal remote role in remote (united states), and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Lead with distributed collaboration, async delivery, and timezone discipline.
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Source: job-boards.greenhouse.io · Source ID: 5183051008 · Confidence: 97/100 · Last checked: May 7, 2026
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