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Anthropic Fellows Program, ML Systems & Performance

Anthropic
AI / ML Engineer • Remote • Full-time • 📍 London
📄 View original listing (EN)

Anthropic's mission is to create reliable, interpretable and steerable AI systems. The Anthropic Fellows Program fosters AI research and engineering talent by providing funding and mentorship to promising technical talent, regardless of previous experience. Fellows primarily use external infrastructure (open-source models, public APIs) to work on an empirical project aligned with Anthropic's research priorities, aiming to produce a public output such as a paper. The program runs 4 months full-time, with shared workspaces in London or Berkeley and remote fellows accepted in the UK, US or Canada. This workstream is ML Systems & Performance, focused on engineering-heavy projects across ML systems, accelerators and large-scale infrastructure.

Stack

Python

Responsibilities

  • ▹Work on an engineering-heavy empirical project with the goal of producing a public output
  • ▹Build a CPU simulator for accelerator workloads
  • ▹Add backends for different accelerators on an open-source project
  • ▹Build on-demand infrastructure for other infrastructure-heavy fellows projects
  • ▹Build complex synthetic data or environment pipelines

Requirements

  • ▹Fluent in Python programming
  • ▹Available to work full-time on the Fellows program
  • ▹Strong technical background in computer science, mathematics or physics
  • ▹Able to implement ideas quickly and communicate clearly
  • ▹Motivated by making sure AI is safe and beneficial for society as a whole
  • ▹Excited to transition into empirical AI research and interested in a full-time role at Anthropic
  • ▹Work authorization in the US, UK or Canada and located in that country during the program (no visa sponsorship for fellows)

Nice to have

  • ▹Strong software engineering skills with experience building complex ML systems
  • ▹Ability to balance research exploration with engineering rigor and operational reliability
  • ▹Enjoys collaborating across research and engineering disciplines
  • ▹Comfortable with large-scale distributed systems and high-performance computing (e.g. in trading)
  • ▹Experience training, fine-tuning or evaluating large language models
  • ▹Adept at analyzing and debugging model training processes

Soft skills

Thrives in fast-paced, collaborative environmentsClear communicationQuick implementation of ideas

What we offer

  • ▹Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (vary by country), 40 hours/week for 4 months
  • ▹Direct mentorship from Anthropic researchers
  • ▹Access to a shared workspace in Berkeley, California or London, UK
  • ▹Funding for compute (~$15k/month) and other research expenses
  • ▹Connection to the broader AI safety and security research community
Education: Bachelor's degree or an equivalent combination of education, training and/or experience; required field of study relevant to the role