Lead Computer Vision & Biometrics ML Engineer

Jumio; United States; Remote; USD 150,000 - 260,000; Full time

Job summary

Jumio is seeking a Machine Learning Engineer to lead the design and scaling of face recognition systems in production. You will build and train models, own ML systems end-to-end on AWS, and mentor the team in computer vision and biometrics.

The role requires 5+ years in ML with at least 3 in biometrics or face analysis, deep CV expertise, and production-grade Python coding. You will develop end-to-end pipelines, optimize for low latency, and advance responsible AI practices while working on

Qualifications

• 5+ years of industry experience in Machine Learning, with at least 3 years in Biometrics or Face Analysis.
• Deep expertise in computer vision and biometrics, especially face recognition.
• Understanding sources of algorithmic bias in CV and practical experience mitigating disparate impact.
• Strong Python engineering skills with production-ready code and vision libraries.
• Experience designing end-to-end ML pipelines and using workflow orchestrators like Airflow.
• Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS).

Responsibilities

• Lead design and development of computer vision systems for biometrics (face attributes, detection, quality, recognition).
• Perform fairness analysis and benchmarking across datasets and operating conditions.
• Architect, train, and optimize models using PyTorch, TensorFlow, and/or JAX.
• Own end-to-end ML pipelines from data ingestion to deployment; design automated pipelines for data ingestion and cleaning.
• Curate balanced training sets and generate synthetic data to address quality and diversity gaps.
• Own production path and optimize models for low-latency inference and deployment on AWS.

Skills

Computer vision

Biometrics

Face recognition

Python

End-to-end ML pipelines

Tools

PyTorch

TensorFlow

JAX

Airflow

AWS (SageMaker)

Job description

Jumio is seeking a Machine Learning Engineer to lead the design and scaling of face recognition systems in production. You will build and train models, own ML systems end-to-end on AWS, and mentor the team in computer vision and biometrics.

The role requires 5+ years in ML with at least 3 in biometrics or face analysis, deep CV expertise, and production-grade Python coding. You will develop end-to-end pipelines, optimize for low latency, and advance responsible AI practices while working on