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This listing was closed on Jul 19, 2026.
Browse Open JobsMachine Learning Engineer - IV (Biometrics)
Summary by AIEngineer.careers
Machine Learning Engineer - IV (Biometrics) is a Machine Learning Engineer role (full-time). with Jumio Corporation. in MONTRÉAL, CA. Imported listing (source: ca.linkedin.com). Apply on the employer's site (ca.linkedin.com).
Imported listing (source: ca.linkedin.com) · Apply on ca.linkedin.com
MONTRÉAL · CA
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from ca.linkedin.com
Jumio is seeking a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You will build and train models, own end-to-end ML pipelines on AWS, and mentor team members. The role requires 5+ years of ML experience with at least 3 years in biometrics or face analysis.
Responsibilities
- Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition)
- Conduct rigorous fairness analysis and benchmarking of biometric models across diverse datasets
- Architect, train, and optimize models using PyTorch, TensorFlow, and/or JAX
- Own and evolve end-to-end ML pipelines from data ingestion to deployment; design automated pipelines with Airflow
- Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS
- Mentor ML engineers, conduct code/design reviews, and drive technical best practices
Requirements
- 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis
- Deep expertise in computer vision and biometrics, especially face recognition
Jumio Corporation
Sunnyvale · US · 613+ employees
Jumio provides an AI-powered identity intelligence platform that helps businesses accelerate customer onboarding, combat fraud, and ensure compliance. Its solutions include identity verification, biometric authentication, and ongoing monitoring for organizations globally.
