About this role
Job Description <h2>Your mission</h2><p>You'll join <strong>Didit Labs</strong>, our in-house AI lab, and develop <strong>state-of-the-art biometric models — including fraud</strong> — shipped to production and used by millions.</p><h2>What we're looking for</h2><ul><li><strong>Deep computer-vision expertise focused on faces</strong> — liveness, anti-spoofing / PAD, recognition, or related. You've built and shipped face models, not just used them.</li><li><strong>Strong deep-learning fundamentals</strong> — PyTorch, training pipelines, and the judgment to take a model from SOTA paper to production.</li><li><strong>You ship.</strong> You can move from research to a real, fast, reliable service.</li><li><strong>High ownership and intensity</strong> — we're a small, lean team that expects a lot and moves fast.</li></ul><h3>Nice to have</h3><ul><li>A track record that proves the level — strong publications, a competitive ML record (e.g. Kaggle), or production face-biometrics systems at scale.</li></ul><h2>What we offer</h2><ul><li><strong>In-office in Barcelona or San Francisco</strong> — work shoulder-to-shoulder with a tiny, elite team inside Didit Labs.</li><li><strong>Real ownership</strong> — you own face biometrics outright, in a Y-Combinator-backed company used by 2,000+ companies.</li><li><strong>Real growth</strong> — the chance to build the best identity company in the world, with the resources of a freshly funded lab behind you.</li></ul><p>We'll discuss compensation directly during the process.</p>