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Founding role · R&D - the Humans & Machines Lab

AI / ML Researcher-Engineer (One)

Hardcore AI/ML researchers and engineers with the curiosity to build great AI, data, and systems.

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You work on the intelligence itself, on a team where research that does not reach a user is unfinished. The questions are shaped by our constraint: the model often runs on hardware the person owns, under a consent boundary, which rules out a lot of easy answers and makes the remaining ones interesting.

San FranciscoPalo AltoSeattleKirklandAustinDallasChicagoMiamiNew YorkStony Brook University LabPurdue University LabIIT Kharagpur LabIIT Bombay LabIIT Madras LabKirkland HQ & GarageUAE Garage

In the office together five days a week, in any of these cities. Remote-friendly around your family, arranged one person at a time.

What you'll do

  • ▸Push the frontier on personal AI: knowledge/world models, memory, retrieval, evals
  • ▸Build the data and systems substrate - efficient, sovereign, on-device and edge-first
  • ▸Turn research into shipped capability with real latency, accuracy, and relevance budgets
  • ▸Keep the human in control: consent-native design, interpretability, and honest evaluation
  • ▸Publish and teach in the open where we can; collaborate with our university labs

Required

  • ▸Real research contribution: published work, or a shipped system whose core idea was yours
  • ▸You implement your own ideas to a production standard rather than handing them over
  • ▸Rigor about evaluation: you can tell a genuine improvement from a better-looking benchmark
  • ▸Depth in at least one of reasoning, memory, retrieval, efficiency, or agent architecture

Nice to have

  • ▸Quantisation, distillation, or on-device inference, since that is where our constraint bites
  • ▸Open-weights work, or contributions to an open model ecosystem
  • ▸Privacy-preserving machine learning

What winning looks like

  • ▸Eval and benchmark gains that reach the product
  • ▸Research shipped with real latency and accuracy budgets
  • ▸Reproducibility and honest evaluation

What comes with the job

  • ▸Stock options for every full-time teammate, four-year vesting with a one-year cliff
  • ▸Annual performance bonus, or on-target earnings with uncapped commission for customer-facing roles
  • ▸Medical, dental and vision for you and your family, plus life and disability cover, on the highest plan tier available to us
  • ▸A 401(k) with company matching
  • ▸Pay reviewed every year and on promotion, benchmarked to your role and market
  • ▸A budget of AI tokens of your own
  • ▸Gym membership, and retailer discounts redeemed through our benefits app
  • ▸Remote-friendly around your family, arranged one person at a time
  • ▸$1,000 plus $10,000 in equity for a referral we hire who stays a year

Apply

Apply for AI / ML Researcher-Engineer (One)

One short form, right here. A person reads every application and you hear back either way. You get your own link to check where things stand, and you can withdraw or delete your application from it at any time, without an account.

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AI / ML Researcher-Engineer (One)

Resume *

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That is everything we need. The rest is optional, and it helps.

Where your work lives

Any of these, none of these. Paste a link and we will look.

In a hundred words or so, the piece of work you are most proud of.

You get a reference number straight away.
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