Anthropic
Anthropic Fellows Program, ML Systems & Reinforcement Learning
London, UK +8 · Remote · Full-time · Posted Apr 9, 2026
- Location
- London, UK
Ontario, CAN
Remote-Friendly, United States
San Francisco, CA
British Columbia, Canada
London, England, United Kingdom
Ontario, Canada
Remote-Friendly US (Travel Required)
San Francisco, California, United States - Visa sponsorship
- Unable to sponsor visas for fellows; participants must have or independently obtain full-time work authorization in the UK, US, or Canada.
About the job
Conduct a four-month, full-time empirical AI research project in ML systems and performance or reinforcement learning, with mentorship and the goal of producing a public output.
What you'll do
- Carry out a research or engineering project, potentially building ML infrastructure, accelerator tools, synthetic-data pipelines, or reinforcement-learning environments and methods.
- Analyze and debug model training processes while balancing research exploration with engineering rigor and operational reliability.
- Collaborate with researchers and engineers and work toward a public research output, such as a paper submission.
What they ask for
- Fluent in Python programming.
- Available to work full-time for the program duration.
- Have or independently obtain full-time work authorization in the US, UK, or Canada, and be located in that country during the program.
Nice to have
- Strong software engineering skills and experience building complex ML systems.
- Experience with large-scale distributed systems, high-performance computing, or training, fine-tuning, or evaluating large language models.
Pay
3,850 USD per week (base stipend); 2,310 GBP per week (base stipend); 4,300 CAD per week (base stipend)
Tools
Python
AI focus
Empirical AI research supporting safe and beneficial AI, including ML systems, model training and evaluation, and reinforcement learning.
Model-written summary · the original posting is authoritative