Machine Learning Engineer

Jumio; United States; On-site; 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

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: 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.
• Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact.
• Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code.
• Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow.
• Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS).

Nice to Have

• Research Publications: Papers in CVPR, ICCV, ECCV, or FG related to face recognition, image quality assessment, or fairness.
• Large Scale Search: Experience with vector databases (e.g., Milvus, Faiss) and approximate nearest neighbor (ANN) search algorithms.
• Familiarity with privacy, security, and compliance in biometric systems.
• Mobile/Edge Experience: Experience porting models to edge or mobile devices utilizing frameworks such as CoreML, LiteRT, and/or TFLite.
• Synthetic Data: Experience using GANs or diffusion models to generate synthetic faces for training.
• Strong communication skills.

Jumio Values:

IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation

Equal Opportunities** :**

Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.

About Jumio:

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.

Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, We're expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

Applicant Data Privacy

We will only use your personal information in connection with Jumio's application, recruitment, and hiring processes, as described in Jumio's Applicant Privacy Notice. If you have any questions or comments, please send an email to [e-mail].