Anthropic Fellows Program, ML Systems & Reinforcement Learning

Summary

Anthropic is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society. The Anthropic Fellows Program provides four months of full-time research, mentorship, workspace access, and funding for empirical projects in ML systems, performance, and reinforcement learning, with the goal of producing public research outputs.

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
• Building model-based tools to better understand AI training data and improve training data quality
• A research project to better understand generalization
• Creating RL environments to improve Claude models at capabilities that are within your domain of expertise
• Building RL environments for safety-related tasks
• Conducting research and implementing solutions in areas such as RL algorithms

Skills

• * 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 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
• * Have experience with training, fine-tuning, or evaluating large language models
• * Are adept at analyzing and debugging model training processes
• Logistics Requirements:** 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
• **Workspace Locations:** We have designated shared workspaces in SF. **We are also open to remote fellows in the UK, US, or Canada
• **Visa Sponsorship:** We are **not** currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada
• **Program Duration:** The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis

Qualifications

Must Haves

• * 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 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
• * Have experience with training, fine-tuning, or evaluating large language models
• * Are adept at analyzing and debugging model training processes
• Logistics Requirements:** 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
• **Workspace Locations:** We have designated shared workspaces in SF. **We are also open to remote fellows in the UK, US, or Canada
• **Visa Sponsorship:** We are **not** currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada
• **Program Duration:** The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis

Benefits

• Direct mentorship from Anthropic researchers
• Access to a shared workspace
• 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