ML Research Engineer

Research and develop machine learning methods for age assessment and identity verification, taking ideas from experiments into models that can run in a web browser. The role combines applied research in face analysis, document verification, and fraud resistance with practical model deployment.

• Investigate and prototype methods for age-bracket classification and face analysis.
• Develop approaches to liveness detection and anti-spoofing that can address presentation attacks.
• Explore techniques for document verification and identity checks.
• Turn promising research into production-ready models exported for browser-based inference.
• Evaluate model performance and refine methods based on real-world verification needs.

• Experience conducting applied machine learning research and building working prototypes.
• Strong background in computer vision or face analysis.
• Ability to move research results toward production deployment.
• Familiarity with model formats and constraints for inference in web environments.

• Full-time, remote role open to candidates in the US or Europe.
• Listed compensation range: $160,000–$220,000.