Anthropic Fellows Program — ML Systems & Performance

Location: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA Remote work mention: Yes, remote fellows are accepted in the UK, US, or Canada. Employment type: Fellowship program, full-time for 4 months. Experience level: Open to promising technical talent regardless of previous experience.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. They aim for AI to be safe and beneficial for users and society. The team includes researchers, engineers, policy experts, and business leaders working together on beneficial AI systems. Apply using the provided link. The next cohort starts July 20, 2026. Apply by April 26, 2026. Applications for later cohorts accepted on a rolling basis.

Anthropic Fellows Program overview

The program fosters AI research and engineering talent by providing funding and mentorship regardless of previous experience. Fellows primarily use external infrastructure (e.g., open-source models, public APIs) to work on empirical projects aligned with research priorities with the goal of producing a public output (e.g., paper submission). Over 80% of fellows in earlier cohorts produced papers. Multiple cohorts run each year; this application is for cohorts starting July 2026 and beyond.

What to expect

4 months of full-time research
Direct mentorship from Anthropic researchers
Access to shared workspace in Berkeley, California or London, UK
Connection to broader AI safety and security research community
Weekly stipend: 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (vary by country)
Funding for compute (~$15k/month) and other research expenses

Interview process

Includes initial application & reference check, technical assessments & interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification. The program values diversity and representation.

Compensation

Expected base stipend: 3,850 USD / 2,310 GBP / 4,300 CAD per week for 40 hours/week over 4 months (possible extension).

Fellows workstreams

Workstreams include:

AI Safety Fellows
AI Security Fellows
ML Systems & Performance Fellows
Reinforcement Learning Fellows
Economics & Societal Impacts Fellows

This page is specific to the ML Systems & Performance workstream.

Across the workstreams you may be a good fit if you:

Are motivated by making sure AI is safe and beneficial for society
Are excited to transition into empirical AI research and interested in full-time roles at Anthropic
Have strong technical background in computer science, mathematics or physics
Thrive in fast-paced collaborative environments
Can implement ideas quickly and communicate clearly

Strong candidates may also have:

Background relevant to specific workstream (e.g., economics, social sciences or cybersecurity)
Experience related to their workstream

Candidates must be:

Fluent in Python programming
Available full-time during the program

ML Systems & Performance Fellows

Mentors, research areas & past projects

Mentors include Alwin Peng and Zygi Straznickas (applications must go through official form). Example past project: "AI agents find $4.6M in blockchain smart contract exploits." Projects may include:

Building CPU simulator for accelerator workloads
Adding backends for different accelerators on open source projects
Building on-demand infrastructure for infrastructure-heavy projects
Building complex synthetic data or environment pipelines

Unique candidate criteria

Good fit if you:

Have strong software engineering skills building complex ML systems
Can balance research exploration with engineering rigor and operational reliability
Enjoy collaborating across research and engineering disciplines
Comfortable with large-scale distributed systems and high-performance computing (e.g., trading)
Experience training/fine-tuning/evaluating large language models
Skilled at analyzing/debugging model training processes

Logistics

Logistics Requirements: Must have work authorization in US, UK or Canada and be located there during program. Workspace Locations: Shared workspaces in London and Berkeley available; remote fellows accepted in UK/US/Canada. Availability to work from Berkeley or London (full/part-time) will be asked. Visa Sponsorship: Not currently able to sponsor visas; must have or independently obtain full-time work authorization in UK/US/Canada. Program Duration: 4 months full-time; partial commitments considered case-by-case. No guarantee of full-time offers post-fellowship but strong performance may lead to offers or other opportunities in AI safety/security organizations. Applications managed by Constellation recruiting partner; applying redirects to Constellation's portal.