Machine Learning Engineer, Jumio

About the job

Headquarters: Austria (remote)

Machine Learning Engineer

We’re looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process.

What You’ll Do

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 various datasets and operating conditions.

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 (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps.

Production Engineering: Own the path to production. 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 across the Computer Vision team.

What We’re Looking For

Experience: Multiple 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.

Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact.

How can we help?

How can we help?

Machine Learning Engineer

About the job