Job Overview
Location
London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
Job Type
Full-time
Category
Data Science
Date Posted
May 6, 2026
Full Job Description
📋 Description
- • The Anthropic Fellows Program — ML Systems & Performance is a 4-month full-time research fellowship focused on advancing AI safety and performance through empirical projects using external infrastructure like open-source models and public APIs, with the goal of producing public outputs such as research papers.
- • Fellows will work on technical projects including building CPU simulators for accelerator workloads, adding backends for different accelerators on open-source projects, constructing on-demand infrastructure for other fellows’ projects, and developing complex synthetic data or environment pipelines, under direct mentorship from Anthropic researchers like Alwin Peng and Zygi Straznickas.
- • The program fosters collaboration across research and engineering disciplines, offering access to shared workspaces in Berkeley, California or London, UK, or remote participation from the UK, US, or Canada, while connecting fellows to the broader AI safety and security research community.
- • Participants receive a weekly stipend of $3,850 USD / £2,310 GBP / CAD 4,300, funding for compute (~$15k/month) and research expenses, and gain hands-on experience in ML systems engineering, performance optimization, and large-scale distributed systems, with strong potential for full-time roles at Anthropic based on performance.
🎯 Requirements
- • Fluent in Python programming
- • Available to work full-time on the Fellows program for 4 months
- • Strong software engineering skills with experience building complex ML systems
- • Experience with training, fine-tuning, or evaluating large language models
- • Comfortable working with large-scale distributed systems and high-performance computing
- • Adept at analyzing and debugging model training processes
🏖️ Benefits
- • Weekly stipend of $3,850 USD / £2,310 GBP / CAD 4,300 + benefits (varies by country)
- • Funding for compute (~$15k/month) and other research expenses
- • Access to shared workspaces in Berkeley, CA or London, UK, or remote participation from UK, US, or Canada
- • Direct mentorship from Anthropic researchers
- • Connection to the broader AI safety and security research community
- • Opportunity to produce public research outputs (e.g., paper submissions) with over 80% of past fellows achieving this
Skills & Technologies
About Anthropic, PBC
Anthropic is a public benefit corporation founded in 2021 by former OpenAI researchers to develop large-scale AI systems that are safe, interpretable and aligned with human values. The company produces Claude, a family of conversational and reasoning models based on constitutional AI and reinforcement learning from human feedback. Headquartered in San Francisco, Anthropic combines frontier research with applied engineering, publishing scholarly papers on alignment, interpretability and robustness while offering API access and commercial products built on its models.
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