Senior Machine Learning Engineer

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

Role overview

Advance age bracket classification and face recognition models used in identity verification. The work centers on improving classifier accuracy and fairness, strengthening anti-spoofing, and deploying models for inference in users’ browsers through ONNX and WebAssembly.

Responsibilities

• Improve binary classifiers for age thresholds, beginning with the 18+ model and extending to 12+, 15+, 21+, and 25+ thresholds.
• Research and implement methods to improve classification performance.
• Reduce bias in age estimation across the models.
• Develop anti-spoofing approaches for face recognition and age verification.
• Prepare ONNX models for client-side inference through WebAssembly.

Requirements

• Senior machine learning engineering experience with production model development.
• Experience improving classification models and evaluating their 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.

Benefits and work setup

• Full-time, remote role open across the US and EU.
• Listed compensation: $180,000–$240,000.