Startups · AI

AI Engineer — Biometrics (On-site San Francisco or Barcelona)

Didit · San Francisco · On-site

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About Didit

Infrastructure for identity and fraud. One API. 25+ modules. $0.33 per full KYC. $0.15 wallet screening. 500 free every month. Backed by Y Combinator.

About the role

You'll join Didit Labs , our in-house AI lab, and develop state-of-the-art biometric models — including fraud — shipped to production and used by millions.

What they're looking for

  • Deep computer-vision expertise focused on faces — liveness, anti-spoofing / PAD, recognition, or related. You've built and shipped face models, not just used them
  • Strong deep-learning fundamentals — PyTorch, training pipelines, and the judgment to take a model from SOTA paper to production
  • You ship. You can move from research to a real, fast, reliable service
  • High ownership and intensity — we're a small, lean team that expects a lot and moves fast
More about this role

You'll join Didit Labs , our in-house AI lab, and develop state-of-the-art biometric models — including fraud — shipped to production and used by millions.

  • Deep computer-vision expertise focused on faces — liveness, anti-spoofing / PAD, recognition, or related. You've built and shipped face models, not just used them.
  • Strong deep-learning fundamentals — PyTorch, training pipelines, and the judgment to take a model from SOTA paper to production.
  • You ship. You can move from research to a real, fast, reliable service.
  • High ownership and intensity — we're a small, lean team that expects a lot and moves fast.
  • A track record that proves the level — strong publications, a competitive ML record (e.g. Kaggle), or production face-biometrics systems at scale.
  • In-office in Barcelona or San Francisco — work shoulder-to-shoulder with a tiny, elite team inside Didit Labs.
  • Real ownership — you own face biometrics outright, in a Y-Combinator-backed company used by 2,000+ companies.
  • Real growth — the chance to build the best identity company in the world, with the resources of a freshly funded lab behind you.

We'll discuss compensation directly during the process.

Read the full posting on Didit's site ↗

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