Anthropic Fellows Program – ML Systems & Performance
An innovative fellowship that offers 4 months of full‑time research, mentorship from Anthropic scientists, and the opportunity to work on empirical projects using external infrastructure.
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, or remote option
- Connection to the broader AI safety and security research community
- Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (vary by country)
- Funding for compute (~$15k / month) and other research expenses
Responsibilities
- Design and conduct experiments using external models and APIs aligned with Anthropic research priorities.
- Produce a public deliverable such as a research paper or open-source software.
- Collaborate with mentors and cross‑functional teams to refine research questions and methodologies.
- Engage in weekly research discussions and meetings.
Qualifications
- Fluent programming in Python.
- Strong technical background in computer science, mathematics, or physics.
- Motivated to contribute to safe and beneficial AI for society.
- Experience building large‑scale ML systems, high‑performance computing, or training large language models.
- Ability to implement ideas quickly and communicate results clearly.
- Thrives in fast‑paced, collaborative environments.
Additional Strengths (Nice to Have)
- Background in economics, social sciences, or cybersecurity relevant to a specific workstream.
- Prior research or engineering experience in a related domain.
Logistics
- Must have work authorization in the US, UK, or Canada and be located in that country during the program.
- Eligible to work from London or Berkeley; remote options are also considered.
- Visa sponsorship is not available; applicants must hold valid work authorization.
- Program duration is 4 months full‑time; extensions may be considered on a case‑by‑case basis.
Compensation
Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD, with expected 40 hours per week.
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