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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - IV (Computer Vision - **Company:** Jumio - **Location:** Quebec, MT, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Computer Vision, Biometrics, Cloud Engineering, Computer Clusters, Image Quality, Python (Programming Language), Search Algorithms, Machine Learning, OpenCV, Tensorflow, Systems Architecture, Data Ingestion, Pytorch, ONNX (Open Neural Network Exchange) Format, Production Code, Machine Learning Operations, TensorRT - **Published:** July 20, 2026 - **Apply:** https://job-boards.greenhouse.io/jumio/jobs/4713139005 ## About the Role * 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)., * 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. ## Description We're looking for a Staff/Senior 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., * 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., At Jumio, we value belonging and believe in fostering an environment where a diversity of perspectives can thrive. Your responses will help us to reduce bias and increase diversity and inclusion across the company. We only ask for this data on an opt-in basis and it will be used (in aggregate only) to help us identify areas of improvement in our process. Notwithstanding, if you do not feel comfortable providing the information required therein, you can decline at any time from answering the survey, given that the completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. I identify my gender as* Select... I identify my ethnicity as (mark all that apply)* Select... I have a physical disability* Select... Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Jumio's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select... Are you Hispanic/Latino? Select... Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. 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Veteran Status Select... ## Related Videos - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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