Anthropic Fellows Program, ML Systems & Performance

Summary

Anthropic is a public benefit corporation headquartered in San Francisco, focused on creating reliable and beneficial AI systems. They are seeking candidates for the Anthropic Fellows Program, specifically in ML Systems & Performance, where fellows will engage in empirical projects aligned with the company's research priorities.

Responsibilities

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

Skills

• Fluent in Python programming
• Available to work full-time on the Fellows program
• 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
• 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
• To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program
• 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

Qualifications

Must Haves

• Fluent in Python programming
• Available to work full-time on the Fellows program
• 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
• 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
• To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program

Nice to Haves

• 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

Benefits

• Direct mentorship from Anthropic researchers
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety and security research community
• Funding for compute (~$15k/month) and other research expenses
• We are also open to remote fellows in the UK, US, or Canada
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• A lovely office space in which to collaborate with colleagues