Machine Learning Engineer

About the role

This position involves leading the development and scaling of biometric face recognition systems. You will be responsible for building and refining machine learning models and managing the entire lifecycle of ML systems on AWS. The specific level of this role will be determined after the interview stages. Key facts

Location: Austria

Engagement: Full-time

Team: Computer Vision What you'll do

• Drive the creation of computer vision solutions for biometric applications, covering face attributes, detection, quality assessment, and recognition.
• Conduct thorough analysis of fairness and performance for biometric models across diverse datasets and conditions.
• Design, train, and optimize models using PyTorch, Tensorflow, or JAX.
• Oversee and advance complete machine learning pipelines, from data acquisition to deployment, including creating automated workflows for data processing.
• Manage the path to production for ML models, optimizing them for fast inference and deploying them on AWS.
• Provide guidance to other ML engineers, review code and designs, and promote engineering best practices within the team. Requirements
• A minimum of 5 years of professional experience in machine learning, with at least 3 years focused on biometrics or face analysis.
• Extensive knowledge in computer vision and biometrics, particularly face recognition.
• Understanding of algorithmic bias in computer vision, with practical experience in measuring and reducing its impact.
• Strong Python programming skills, including proficiency with machine learning and computer vision libraries like Pillow, OpenCV, PyTorch, and others, writing production-ready code.
• Experience in designing end-to-end ML pipelines and using workflow orchestrators such as Airflow.
• Hands-on experience with scaling training on multi-GPU systems and deploying services on AWS, including SageMaker, EC2, and EKS. Nice to have
• Published research in top-tier computer vision conferences like CVPR, ICCV, ECCV, or FG, related to face recognition, image quality, or fairness.
• Experience with vector databases like Milvus or Faiss, and approximate nearest neighbor search.
• Familiarity with privacy, security, and compliance aspects of biometric systems.
• Experience adapting models for mobile or edge devices using frameworks like CoreML, LiteRT, or TFLite.
• Experience generating synthetic faces for training using GANs or diffusion models.
• Excellent communication abilities. Skills & tools
• Python
• PyTorch
• Tensorflow
• JAX
• AWS (SageMaker, EC2, EKS)
• Airflow
• Computer Vision libraries (OpenCV, Pillow)
• Biometrics
• Face Recognition
• Machine Learning Pipelines
• Model Optimization (quantization, distillation, TensorRT/ONNX) Practical notes
• Jumio is committed to diversity and inclusion, welcoming applications from all backgrounds.
• Jumio is a technology company focused on preventing online identity fraud and financial crime.
• Personal information will be used solely for the application and recruitment process, as detailed in Jumio's Applicant Privacy Notice. About the company Jumio is an online mobile payment and identity verification company. We provide essential products for card and ID scanning and validation. These solutions are designed for secure use across both mobile and web transactions. Our core offering is known as Netverify Trusted Identity as a Service. This service helps businesses establish trust and prevent fraud in the digital realm. It provides a crucial layer of security for online interactions. Jumio's technology enables companies to verify the identities of their users quickly and accurately. This supports various critical functions, including customer onboarding, age verification, and regulatory compliance. By validating identities, we help protect businesses from financial crime and identity theft. Our products streamline complex verification processes, making them simple and user-friendly. We empower organizations to operate confidently in a digital-first world. Jumio's focus is on delivering reliable and scalable identity verification services. We are committed to building a safer and more trustworthy online ecosystem for everyone. Our team works to ensure the integrity of digital transactions globally. We help businesses meet strict security standards. Our solutions support a wide range of industries that rely on secure online interactions. This includes financial services, gaming, and the sharing economy. We enable and secure customer experiences.