Lead Face Biometrics AI Engineer - Liveness & Anti-Spoofing

Didit (YC W26)

Barcelona

Sur place

EUR 90 000 - 120 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

On-site Barcelona office
Research publication opportunities
Competitive compensation

Résumé du poste

Didit Labs, the in-house AI lab of Didit, builds state-of-the-art biometric models shipped to production for millions of users. We seek an AI Engineer to own face biometrics end to end, from research to a fast, reliable service in production.

You will lead iBeta certification efforts and build defenses against spoofing, deepfakes, and injection attacks, with latency considerations for on-device and server environments.

Qualifications

  • Deep computer vision expertise focused on faces: liveness, anti-spoofing and recognition.
  • Proven track record of building and shipping face models in production.
  • Strong deep learning fundamentals with PyTorch and model training pipelines.
  • Hands-on experience taking a PAD or liveness system through iBeta Level 2 or Level 3.
  • High-ownership mindset and comfort working in a small, fast-moving team.

Responsabilités

  • Own our face biometrics models: liveness detection, anti-spoofing and face recognition.
  • Lead the iBeta certification project end to end: test plan, attack-data collection, lab submission and fixes.
  • Build detection for injection attacks and deepfakes: virtual cameras, emulators, face swaps and generative video.
  • Take research ideas into production, on-device (CoreML, TFLite, ONNX) and server-side, with tight latency.
  • Benchmark against NIST FRTE and measure demographic fairness.
  • Publish research with our team at venues such as IJCB, CVPR workshops and BIOSIG.

Connaissances

Face biometrics
Liveness detection
Anti-spoofing
Face recognition
Production deployment

Outils

PyTorch
CoreML
TFLite
ONNX

Description du poste

Didit Labs, the in-house AI lab of Didit, builds state-of-the-art biometric models shipped to production for millions of users. We seek an AI Engineer to own face biometrics end to end, from research to a fast, reliable service in production.

You will lead iBeta certification efforts and build defenses against spoofing, deepfakes, and injection attacks, with latency considerations for on-device and server environments.

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