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JumioMachine Learning Engineer
Jumio is currently hiring a remote Machine Learning Engineer to guide the creation and scaling of production face recognition technologies. As a B2B organization focused on…
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About This Role
Jumio is currently hiring a remote Machine Learning Engineer to guide the creation and scaling of production face recognition technologies. As a B2B organization focused on preventing financial crime, money laundering, and digital identity fraud, Jumio utilizes artificial intelligence, biometrics, machine learning, and liveness detection to protect major global brands. This position is well-suited for a specialist in computer vision who wants to take charge of end-to-end machine learning workflows…
Job Description
Jumio is currently hiring a remote Machine Learning Engineer to guide the creation and scaling of production face recognition technologies. As a B2B organization focused on preventing financial crime, money laundering, and digital identity fraud, Jumio utilizes artificial intelligence, biometrics, machine learning, and liveness detection to protect major global brands. This position is well-suited for a specialist in computer vision who wants to take charge of end-to-end machine learning workflows on AWS.
In this capacity, the professional will engineer and refine biometric systems while conducting thorough fairness evaluations across diverse operating conditions. Responsibilities encompass architecting models with modern frameworks, constructing automated data pipelines, and optimizing codebases for low-latency inference. Furthermore, the individual will mentor engineering peers and establish technical standards within the computer vision department. The final organizational level for the position is determined subsequent to the interview evaluation.
Jumio operates with a global footprint and values a diverse workforce spanning multiple cultures and backgrounds. Candidate personal data is handled in accordance with the organization privacy notice. Applicants can submit their candidacy through the provided professional network link.
Responsibilities
- Lead the creation and implementation of computer vision systems focused on facial recognition, attributes, quality, and detection
- Perform fairness evaluations and benchmark models across various datasets and operating conditions
- Build, train, and optimize models utilizing TensorFlow, PyTorch, or JAX
- Manage complete machine learning workflows from initial data ingestion to final deployment
- Build automated pipelines using Airflow for data ingestion and cleaning
- Curate balanced training sets and create synthetic data to bridge diversity and quality gaps
- Optimize models for low-latency inference through quantization, distillation, TensorRT, or ONNX
- Manage production deployment on AWS infrastructure
- Mentor team members, execute design and code reviews, and promote technical standards
Requirements
- Multiple years of industry experience in machine learning
- Minimum of three years focused specifically on face analysis or biometrics
- Expert proficiency in Python alongside machine learning and vision libraries such as OpenCV, Pillow, and PyTorch
- Experience designing end-to-end machine learning pipelines from data ingestion to deployment
- Familiarity with workflow orchestrators like Airflow
- Hands-on background scaling training tasks on multi-GPU clusters
- Practical experience deploying services and scaling training on AWS including SageMaker, EKS, and EC2
Qualifications
- Research publications in conferences such as CVPR, ICCV, ECCV, or FG concerning fairness, face recognition, or image quality
- Background working with vector databases and approximate nearest neighbor search algorithms
- Familiarity with security, privacy, and regulatory compliance standards for biometric systems
- Experience porting models to edge or mobile devices utilizing LiteRT, TFLite, or CoreML
- Background utilizing diffusion models or GANs to produce synthetic faces for training sets
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting indicates that the position is remote.
What are the core technical requirements for this role?
Candidates must have multiple years of machine learning experience with at least three dedicated to biometrics or face analysis, expert proficiency in Python, and hands-on AWS and pipeline architecture experience.
What is the salary for this position?
The salary is not specified in the job posting.
How is the job level determined?
The final job level is determined following the interview process.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.