AI Engineer Biometrics
DiditVisit Didit website
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.
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
