Anthropic Fellows Program – ML Systems & Performance

Anthropic Fellows Program Overview

Anthropic’s Fellows Program supports AI research and engineering talent through funding, mentorship, and full‑time research opportunities. Fellows work on empirical projects aligned with our research priorities, producing public outputs such as papers.

What to Expect

• 4months of full‑time research
• Direct mentorship from Anthropic researchers
• Access to a shared workspace in Berkeley, California or London, UK
• Connection to the broader AI safety and security research community
• Weekly stipend (3,850USD / 2,310GBP / 4,300CAD) plus benefits, varying by country
• Funding for compute (~$15k/month) and other research expenses

Compensation

The expected base stipend for this role is 3,850USD / 2,310GBP / 4,300CAD per week, with an expectation of 40 hours per week for 4months (possible extension).

Workstreams

The Fellows Program is divided into several workstreams. Candidates can indicate a preference during application. Current workstreams include:

• AI Safety Fellows
• AI Security Fellows
• ML Systems & Performance Fellows
• Reinforcement Learning Fellows
• Economics & Societal Impacts Fellows

Qualifications

• Motivated by ensuring AI is safe and beneficial for society
• Interested in transitioning to empirical AI research and a full‑time role at Anthropic
• Strong technical background in computer science, mathematics, or physics
• Thrives in fast‑paced, collaborative environments
• Can implement ideas quickly and communicate clearly
• Fluent in Python programming
• Available to work full‑time on the Fellows program

Strong Candidates May Also Have

• Relevant background for a specific workstream (e.g., economics, social sciences, cybersecurity)
• Experience in research or engineering related to the chosen workstream

ML Systems & Performance Fellows (Sample Responsibilities)

• Project selection and mentor matching
• Build a CPU simulator for accelerator workloads
• Add backends for accelerators on an open‑source project
• Develop on‑demand infrastructure for large‑scale machine‑learning projects
• Create synthetic data or environment pipelines

Unique Candidate Criteria for ML Systems & Performance Fellows

• Strong software‑engineering skills with experience building complex ML systems
• Balance research exploration with engineering rigor and operational reliability
• Collaborate across research and engineering disciplines
• Comfortable working with large‑scale distributed systems and HPC environments
• Experience with training, fine‑tuning, or evaluating large language models
• Adept at analyzing and debugging model training processes

Logistics

• Must have work authorization in the U.S., U.K., or Canada and be located in that country during the program
• Workspaces in London and Berkeley are available; remote work from the U.S., U.K., or Canada is also possible
• Visa sponsorship is not available; applicants must hold or obtain full‑time work authorization independently
• Program duration: 4months full‑time; partial‑time participation is considered on a case‑by‑case basis

EEO Statement

Anthropic is an equal opportunity employer. We encourage applicants who identify as belonging to underrepresented groups to apply.

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