Senior ML Engineer - Computer Vision & Biometrics (Remote)

Jumio; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Jumio is seeking a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead face recognition systems in production. You will build, train, and own ML systems end-to-end on AWS, mentoring engineers and shaping best practices.

The role emphasizes fairness, scalable pipelines, and production-grade Python code, with a path to determine final job level after interviews. Remote/global team and impactful biometric projects await.

Qualifications

• 5+ years of industry experience in Machine Learning, 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).
• Rigorous fairness analysis and benchmarking of biometric models 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 (Airflow) for data ingestion and cleaning; curate balanced training sets and synthetic data.
• Production Engineering: optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and deploy on AWS.
• Mentor ML engineers, conduct code/design reviews, and drive best practices across the Computer Vision team.

Skills

Python

Computer vision

Biometrics/Face analysis

End-to-end ML pipelines

Production-ready code

Multi-GPU training

Tools

PyTorch

TensorFlow

JAX

OpenCV

Pillow

ONNX

TensorRT

Airflow

Job description

Jumio is seeking a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead face recognition systems in production. You will build, train, and own ML systems end-to-end on AWS, mentoring engineers and shaping best practices.

The role emphasizes fairness, scalable pipelines, and production-grade Python code, with a path to determine final job level after interviews. Remote/global team and impactful biometric projects await.