Senior Machine Learning Engineer

Senior Machine Learning Engineer

We're looking for a Senior ML Engineer to advance our age bracket classifiers and face recognition models. We run 5 binary classifiers (+12/+15/+18/+21/+25) deployed as ONNX models for client-side inference via Web Assembly — you'll improve accuracy, reduce bias, and tackle anti-spoofing.

Xident is building the future of digital identity verification. Our platform enables businesses to verify users' ages and identities in seconds, while respecting privacy through our unique "Verify Once, Access Everywhere" model.

Founded in 2023, we've already processed over 10M+ verifications processed and serve 500+ businesses. We're a remote-first company with team members across 12 countries.

Our mission is simple:
To make identity verification seamless, private, and accessible for everyone. We believe privacy and convenience shouldn't be mutually exclusive, and we're proving it every day.

25+

Team members

500+ businesses

Customers

12

Countries

• Improve our age bracket binary classifiers — currently +18 achieves 0.03% FPR / 11% FRR, target similar for +12/+15/+21/+25
• Research and implement state-of-the-art face recognition using Insight Face (Arc Face) architectures
• Develop robust liveness detection and anti-spoofing models resistant to photos, videos, and deepfakes
• Optimize models for client-side ONNX Runtime inference (Web Assembly, Core ML, Tensor Flow Lite)
• Build fair and unbiased models — measure and mitigate demographic performance gaps
• Collaborate with Python and Go engineers on training pipelines and model deployment via River queue

• 7+ years of machine learning experience with focus on computer vision
• Deep expertise in face recognition architectures (Arc Face, Cos Face, or similar)
• Strong PyTorch skills with experience exporting to ONNX for edge deployment
• Published research or significant contributions to CV/ML projects
• Experience with model optimization (quantization, pruning, distillation) for edge inference
• Understanding of ML fairness, bias detection, and mitigation strategies

• PhD in Computer Science, ML, or related field
• Experience with document OCR and VLM-based verification
• Background in privacy-preserving ML — on-device inference, no server-side face storage

We iterate quickly, gather feedback, and improve continuously.

Everyone owns their domain end-to-end. No finger-pointing, just solutions.

We're happy to answer any questions before you apply. Reach out to our team anytime.