Anthropic Fellows Program, ML Systems & Performance

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    Anthropic

    Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.

    501-1,000 employeesSan Francisco, California, United StatesResearch Services
    Actively hiringPaidRemote-friendlyrollingResearch Services
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    About the role#

    The Anthropic Fellows Program in ML Systems & Performance is a 4-month, full-time research opportunity. Fellows work on empirical projects aligned with our research priorities, using external infrastructure like open-source models and public APIs. The program focuses on fostering technical talent and includes direct mentorship from our researchers. Participants engage in a project selection and mentor matching process to ensure alignment with their expertise.

    What you'll do#

    • Conduct full-time research for a 4-month term.
    • Collaborate across research and engineering disciplines.
    • Work on empirical projects such as building CPU simulators, developing accelerator backends, or creating synthetic data pipelines.
    • Communicate project progress clearly and effectively with team members.

    What you'll need#

    • A strong technical background in computer science, mathematics, physics, data science, cybersecurity, or engineering.
    • Fluency in Python programming.
    • Strong software engineering skills, specifically with experience building complex ML systems.
    • Proven experience in research or engineering areas related to ML systems and performance.
    • Ability to commit to full-time work for the duration of the 4-month program.

    Location & details#

    • This role is remote-friendly, with designated shared workspaces available in San Francisco and other locations.
    • Candidates must have independent work authorization for the United States or Canada. We do not provide visa sponsorship for this program.
    • The program operates on a rolling basis.

    About Anthropic

    Anthropic is an AI research company. It focuses on the creation of reliable, interpretable, and steerable AI systems. The company produces Claude, which is an AI assistant designed for tasks at various scales. Its research covers topics such as natural language, reinforcement learning, and code generation. The organization currently employs 5,423 people.

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