Anthropic Residency: Who Can Apply, What You'll Do, and the Deadline

Who Anthropic wants in this round

Background in machine learning is not required.

Anthropic is recruiting people who have already led ambitious technical work and want to move into full-time research on making AI safe and beneficial for everyone. The public call names three profiles: a professor in a quantitative discipline, a technical founder, or a staff-level engineer aiming to work on transformative AI.

The case for that mix is explicit. Machine learning is still a young field, and many senior researchers, including many at Anthropic, began as physicists, mathematicians, neuroscientists, or software engineers. As models improve, Anthropic argues that framing a research agenda and judging what is worth doing matter most, and that senior people in quantitative fields often already have those skills. The residency is meant to give them the frontier-AI context to use those skills here.

• Quantitative professors

  Faculty in quantitative disciplines who want a fixed-term path into AI safety and beneficial-AI research.

• Technical founders

  Founders with a technical track record who want to spend a defined stretch on frontier research problems.

• Staff-level engineers

  Senior engineers ready to shift from product or infrastructure work into full-time research on transformative AI.

What a residency placement involves

Applications are now open for the Anthropic Residency, a paid, fixed-term research program.

Residents join a paid, fixed-term program. Placements run anywhere from six weeks to six months, and the work is framed as critical research problems rather than a general internship or a permanent hire. Anthropic describes the goal as a transition into full-time work on AI systems that are safe and beneficial for all of humanity.

The official page, on the Alignment Science Blog at alignment.anthropic.com, also lays out mentors and research areas, who the team is looking for, how to apply, and links to past research. Treat the page as the source for those specifics; the announcement itself centers eligibility, duration, pay, and the November 22 close.

How this round relates to the Fellows Program

This round adapts that model for established technical leaders.

Anthropic says this residency builds on the Anthropic Fellows Program, which showed how quickly new researchers can contribute. Past fellows produced work on subliminal learning, the Petri auditing tool, and persona vectors. This round keeps the idea of a structured research stint and aims it at people who already lead technical work outside, or adjacent to, machine learning.

If you are comparing the two, the useful distinction is audience. Fellows demonstrated a path for newer researchers. The residency is the version for established technical leaders who need frontier-AI fluency more than a first research apprenticeship.

How to apply before the deadline

Applications for this round close on November 22, 2026.

Apply on alignment.anthropic.com. Anthropic offers two paths, one for the US and one for the UK, so use the track that matches where you are applying. The round opened November 2, 2026 and closes November 22, 2026.

Read the page sections on mentors, research areas, and past research before you submit. The announcement does not publish a stipend figure, a guaranteed placement length inside the six-week to six-month range, or a promise of a permanent role afterward. Those details, if they exist for your track, belong in the application materials on the official page.

• Pick the US or UK path

  The announcement points to separate application links for the US and the UK on the same residency page.

• Match the audience

  Strong fits are quantitative professors, technical founders, and staff-level engineers who can frame research, with or without prior ML work.

• File by November 22, 2026

  That is the close date Anthropic states for this round.