# Member of Technical Staff - Research at Recursive Superintelligence

> United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Arecursive-superintelligence%3A8b7f89c7-e45e-4523-aaca-b16e9c71cf7b (read 2026-11-09).

## Facts (observed)

- Company: [Recursive Superintelligence](https://alderhq.app/companies/recursive-superintelligence)
- Location text: San Francisco; London
- Where it can be done from (inferred): United States (evidence: "Location: San Francisco; London")
- Posted: 2026-10-20 (20 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/recursive-superintelligence/8b7f89c7-e45e-4523-aaca-b16e9c71cf7b

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 969): p25 $205k, median $240k, p75 $284k
- Licensed UK sponsor: registered as "Recursive Superintelligence Ltd" (checked 2026-11-09, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

### About the role

Recursive is building safe, recursively self-improving AI to automate knowledge discovery. We’re starting with AI that improves AI, using open-ended algorithms to create systems that keep discovering and building on what they learn. We’re hiring researchers and research engineers to develop the methods that make this possible.

This is a broad research opening for people whose interests connect to our mission, even if their background doesn’t fit a single specialized role. You’ll work with researchers and engineers to identify promising questions, develop ideas, implement experiments, and establish what works. We welcome deep specialists and researchers who connect ideas across fields; you don’t need experience in every area below. If our mission resonates, apply and tell us where you think you can contribute most.

### What success looks like

You produce reproducible insights and methods that improve the capability, reliability, or safety of Recursive’s systems. You make clear what changed and why the evidence supports it, learn quickly from unsuccessful experiments, and leave results and tools that help the whole team make better research decisions.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Arecursive-superintelligence%3A8b7f89c7-e45e-4523-aaca-b16e9c71cf7b and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.