At Didit Labs, our in-house AI lab, we build state-of-the-art biometric and fraud models that are shipped to production and used by millions of people every month. We're looking for an AI Engineer to own face biometrics end to end, from research to a fast, reliable service in production.Didit is often called "the Stripe of identity". We provide the infrastructure for identity verification and fraud prevention: one API to authenticate, verify and monitor users and businesses. Our platform covers KYC, KYB, biometric liveness, AML screening, transaction monitoring and wallet screening.The only identity provider formally attested by an EU member state as safer than in-person verification220+ countries, 14,000+ document types and 48+ languages3,000+ companies worldwide, from fintechs and crypto exchanges to marketplaces, healthcare and AI labsBacked by Y Combinator and Robinhood Ventures, with offices in Barcelona and San FranciscoThe missionMake Didit's liveness and face matching the hardest in the market to fool, and prove it with independent certification. You'll take our presentation attack detection (PAD) through iBeta ISO/IEC 30107-3 Level 2 and Level 3, and build defences against injection attacks and deepfakes, the next battleground in identity fraud.What you'll doOwn our face biometrics models: liveness detection, anti-spoofing and face recognitionLead the iBeta certification project end to end: test plan, attack-data collection,



lab submission and fixesBuild detection for injection attacks and deepfakes: virtual cameras, emulators, face swaps and generative videoTake research ideas into production, on-device (CoreML, TFLite, ONNX) and server-side, with tight latencyBenchmark against NIST FRTE and measure demographic fairnessPublish research with our team at venues such as IJCB, CVPR workshops and BIOSIGWhat we're looking forDeep computer vision expertise focused on faces: liveness, anti-spoofing and recognitionA proven track record of building and shipping face models in productionStrong deep learning fundamentals with PyTorch and model training pipelinesHands-on experience taking a PAD or liveness system through iBeta Level 2 or Level 3A high-ownership mindset and comfort working in a small, fast-moving teamNice to havePublished research or competitive ML achievements (e.G. Kaggle)Experience with biometric systems running at scaleExperience with injection or deepfake detection (CEN/TS 18099) or NIST FRTE/FATE submissionsWhat we offerFull ownership of face biometrics at a fast-growing, YC-backed companyReal attack data at a scale few companies can offerFreedom to publish your researchA seat in Didit Labs, working on-site in our Barcelona office with a small, elite teamCompetitive compensation, discussed individually during the processIf you want to build the hardest-to-fool liveness system in the market, we'd love to hear from you.#J-18808-Ljbffr

📌 Ai Engineer - Biometrics (Madrid)
🏢 Didit (YC W26)
📍 Madrid