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Anthropic Fellows Program, ML Systems & Performance

Anthropic · San Francisco Bay Area · 3 wk ago
RemoteRemoteHuman Resources$15k/moFull-time

About the role

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

What to expect

  • 4 months of full-time research
  • 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
  • Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
  • Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.

Compensation

  • The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

Fellows workstreams

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

ML Systems & Performance Fellows

  • Mentors, research areas, & past projects
  • Potential mentors include: Alwin Peng, Zygi Straznickas
  • Note: You may research mentors' prior work, but all applications must go through the official form, not the mentors.
  • For a past example of an engineering-heavy project, see:
  • Projects in this workstream may include:
    • 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

Unique candidate criteria

  • You might be a particularly great fit for this workstream if you:
    • 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
    • Adept at analyzing and debugging model training processes

Logistics

  • 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 London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.
  • 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.

Applications and interviews are managed by Constellation, our recruiting partner.

Clicking "Apply here" will take you to their portal, and updates will come from a Constellation address. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities focused projects in future rounds.

How we're different

  • We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles.
  • We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.
  • The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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