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
1,876 words
In the posting’s own words
The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.
What it asks for · 14
- 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
- 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 comfortable working with large-scale distributed systems and high-performance computing
Also a plus
- Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
- Experience in areas of research or engineering related to their workstream
Tools and skills named
Models & research
- Machine learning4×
- Fine-tuning2×
- LLM2×
- Reinforcement learning2×
Cloud & infra
- Distributed systems2×
Security & compliance
- Security2×
Ways of working
- Mentorship2×
Languages
- Python
Words the posting leans on
- fellows22×
- research20×
- workstream13×
- project11×
- building8×
- engineering8×
- mentors8×
- systems7×
- experience6×
- models6×
- training6×
- e.g4×
- fellows program4×
- process4×
- building complex3×
- fit3×
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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