Anthropic Fellows Program, ML Systems & Reinforcement Learning
Anthropic · London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA · AI Research & Engineering · listed April 10, 2026
The shape of it
Seniority
Not stated
Where
Remote
Requirements listed
14
Length
1,589 words
In the posting’s own words
Apply at the bottom of this page. We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you.
What it asks for · 14
- Have strong software engineering skills with experience building complex ML systems
- Can balance research exploration with engineering rigor and operational reliability
- Enjoy collaborating across research and engineering disciplines
- Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)
- Have experience with training, fine-tuning, or evaluating large language models
- Are adept at analyzing and debugging model training processes
- Are motivated by making sure AI is safe and beneficial for society as a whole
- Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
- Have a strong technical background in computer science, mathematics, or physics
- Thrive 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
- Are comfortable working with large-scale distributed systems and high-performance computing
Tools and skills named
Models & research
- Machine learning3×
- Fine-tuning2×
- LLM2×
- Reinforcement learning
Cloud & infra
- Distributed systems2×
Ways of working
- Mentorship2×
Languages
- Python
Security & compliance
- Security
Words the posting leans on
- research17×
- fellows12×
- project11×
- building8×
- mentors8×
- engineering7×
- models6×
- systems6×
- training6×
- experience5×
- process5×
- cohort4×
- workstream4×
- building complex3×
- e.g3×
- fellows program3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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