Anthropic Fellows Program — ML Systems & Performance

Details

The Anthropic Fellows Program provides funding and mentorship to promising technical talent to work on empirical AI research projects with the goal of producing a public output (for example, a paper submission). This posting is specific to the ML Systems & Performance workstream. The next cohort starts July 20, 2026; apply by April 26, 2026. Applications are reviewed on a rolling basis and exceptional flexibility on start dates may be possible.

What to expect

• 4 months of full-time research (with possible extension)
• Direct mentorship from Anthropic researchers
• Access to a shared workspace (London or Berkeley)
• Connection to the broader AI safety and security research community
• Weekly stipend: 3,850 USD / 2,310 GBP / 4,300 CAD
• Funding for compute (~$15k/month) and other research expenses
• Expectation of 40 hours per week for the program

Interview process

• Initial application & reference check
• Technical assessments & interviews
• Research discussion

ML Systems & Performance — Mentors, research areas, & example projects

Potential mentors include Alwin Peng and Zygi Straznickas. Example projects and areas include:

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

A past example of an engineering-heavy project is referenced in the posting (AI agents finding blockchain smart contract exploits).

Requirements

• Fluent in Python programming
• Available to work full-time on the Fellows program
• Strong technical background in computer science, mathematics, or physics (or equivalent experience)
• Experience or strong interest in building complex ML systems, balancing research exploration with engineering rigor and operational reliability
• Comfortable working with large-scale distributed systems and high-performance computing
• Experience with training, fine-tuning, or evaluating large language models; adept at analyzing and debugging model training processes

Strong candidates may also have backgrounds relevant to other Fellows workstreams (economics, social sciences, cybersecurity) or related research/engineering experience.

Logistics

• Fellowship runs for 4 months, full-time. If you cannot commit to the full duration, you may still apply and note constraints.
• Workspace locations: London and Berkeley (mentors may visit)
• Remote fellows are accepted in the UK, US, or Canada; applicants must be located in and have work authorization for the US, UK, or Canada during the program
• Visa sponsorship: Anthropic is not able to sponsor visas for fellows for this program
• The program does not guarantee full-time offers, though strong performance may lead to offers or other opportunities

Compensation

• Expected base stipend: 3,850 USD / 2,310 GBP / 4,300 CAD per week
• Expectation of 40 hours/week
• Funding for compute (~$15k/month) and other research expenses

How to apply

• Apply via the Constellation application form (link in the posting). Applications and interviews are managed by Constellation, Anthropic's recruiting partner for this program.
• The posting encourages applicants to apply even if they do not meet every single qualification.