ph3Job Description /h3 h3Your mission /h3 pYou'll join bDidit Labs /b, our in-house AI lab, and develop bstate-of-the-art biometric models — including fraud /b — shipped to production and used by millions. /p h3What we're looking for /h3 ul libDeep computer-vision expertise focused on faces /b — liveness, anti-spoofing / PAD, recognition, or related. You've built and shipped face models, not just used them. /li libStrong deep-learning fundamentals /b — PyTorch, training pipelines, and the judgment to take a model from SOTA paper to production. /li libYou ship. /b You can move from research to a real, fast, reliable service. /li libHigh ownership and intensity /b — we're a small, lean team that expects a lot and moves fast. /li /ul h3Nice to have /h3 ul liA track record that proves the level — strong publications,



a competitive ML record (e.g. Kaggle), or production face-biometrics systems at scale. /li /ul h3What we offer /h3 ul libIn-office in Barcelona or San Francisco /b — work shoulder-to-shoulder with a tiny, elite team inside Didit Labs. /li libReal ownership /b — you own face biometrics outright, in a Y-Combinator-backed company used by 2,000+ companies. /li libReal growth /b — the chance to build the best identity company in the world, with the resources of a freshly funded lab behind you. /li /ul pWe'll discuss compensation directly during the process. /p /p #J-18808-Ljbffr

📌 AI Engineer — Biometrics (On-site San Francisco or Barcelona)
🏢 DIDIT
📍 Barcelona