Remote Senior ML Engineer - Browser Inference & Fairness

Xident; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Xident is seeking a senior ML engineer to advance age bracket classification and face recognition models used in identity verification. You will push classifier accuracy, fairness, and anti-spoofing while enabling browser-side inference via ONNX and WebAssembly.

You will work on reducing bias across thresholds (18+, 12+, 15+, 21+, 25+) and deploy optimized models for client environments. This is a full-time, remote role open to candidates in the US and EU.

Qualifications

• Senior ML engineer with production-grade models.
• Experience improving classification models and evaluating accuracy.
• Ability to investigate and reduce bias in model performance.
• Familiarity with anti-spoofing or face recognition work.
• Experience with ONNX and browser-side inference using WebAssembly.

Responsibilities

• Improve binary classifiers for age thresholds and expand to other age groups.
• Research and implement methods to improve classification performance.
• Reduce bias in age estimation across models.
• Develop anti-spoofing approaches for face recognition and age verification.
• Prepare ONNX models for client-side inference through WebAssembly.

Skills

Senior ML engineer

Production model development

Bias mitigation

Tools

ONNX

WebAssembly

Job description

Xident is seeking a senior ML engineer to advance age bracket classification and face recognition models used in identity verification. You will push classifier accuracy, fairness, and anti-spoofing while enabling browser-side inference via ONNX and WebAssembly.

You will work on reducing bias across thresholds (18+, 12+, 15+, 21+, 25+) and deploy optimized models for client environments. This is a full-time, remote role open to candidates in the US and EU.