Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Company: Jumio Corporation Job Category: Machine Learning Roles & Responsibilities: What You’ll Do * Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition * Collaborate on benchmarking of models across datasets and operating conditions * Train and optimize models using PyTorch, TensorFlow, and/or JAX * Contribute to end\-to\-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning. * Production Engineering: Optimize models for low\-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS. * Collaborate with and mentor ML engineers, and contribute to technical best practices across the Computer Vision team. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation 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. Work Location: Montreal, Quebec, Canada Availability: Full time

What We’re Looking For * Experience: 5\+ years of industry experience in Machine Learning with a focus on Computer Vision (e.g., image classification, object detection, segmentation, image quality, generative models) * Strong Computer Vision fundamentals * Fairness \& Ethics: Awareness of algorithmic bias and willingness to learn domain\-specific fairness practices * Strong Engineering: Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production\-ready code * Systems Architecture: Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow * Cloud Native: Experience with GPU\-based training and deploying ML services on AWS Nice to Have * Research Publications in top computer vision venues (CVPR, ICCV, ECCV) * Large Scale Search: Familiarity with vector databases and ANN search * Synthetic Data: Experience with GANs or diffusion models for data augmentation * Mobile/Edge Experience: CoreML, LiteRT, and/or TFLite * Familiarity with privacy, security, and compliance considerations in sensitive ML applications Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Computer Vision Salary: Not disclosed