AI Engineer Biometrics

One API for identity and fraud.

San Francisco, USA

Funding history

About Didit

Didit is an active identity-verification and fraud-prevention platform for businesses, providing a unified API and workflow engine for authentication, KYC, KYB, AML screening, transaction monitoring, wallet screening, biometric checks, and related identity and fraud controls.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will develop state-of-the-art face-biometric and fraud models, taking them from research through training and into fast, reliable production services used at scale.

Requirements

  • Deep computer-vision expertise focused on face biometrics, including liveness, anti-spoofing, PAD, recognition, or related areas
  • Experience building and shipping face models
  • Strong deep-learning fundamentals
  • PyTorch expertise
  • Experience with training pipelines
  • Ability to take models from research papers to production
  • Ability to move from research to reliable services
  • High ownership and ability to work in a fast-paced environment

Responsibilities

  • Develop biometric and fraud models
  • Train and productionize face-biometric models
  • Build fast and reliable production services