ML Research Engineer - Computer Vision

About Entrupy Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods. Entrupy has developed a patented technology system which utilizes a combination of AI and computer vision to instantly identify and authenticate high value physical goods. Entrupy’s solutions serve business customers including leading luxury brands, retailers, e-commerce marketplaces and online resellers in over 60 countries. Entrupy is growing quickly with team members based in the US, India, Japan and Brazil. Entrupy’s solutions in market: ● Entrupy Apparel Authentication ● Entrupy Bags & Leather Goods Authentication ● Entrupy Sneaker Authentication ● Entrupy Fingerprinting As we continue to build... We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply. About the role We are seeking a Machine Learning Engineer with expertise in classical Computer Vision and Deep Learning to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting. In this role, you will drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis. You will also oversee the optimisation of image capture solutions on edge devices and ensure models are interpretable, scalable, and robust. As a senior team member, you will collaborate cross-functionally to define and deliver impactful projects and contribute to thought leadership in the computer vision domain. Reports to: ML Manager Location: Remote: Austria, Bulgaria, Hungary, Romania & India What You'll Do: Leadership & Strategy • Define the technical roadmap for computer vision projects, aligning with business goals and customer needs. • Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence. Advanced Research & Algorithm Development • Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications. • Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability. Scalable Systems & Model Deployment • Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems. • Optimise algorithms for edge device deployment, focusing on latency, accuracy, and power consumption. Collaboration & Stakeholder Engagement • Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions. • Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance. Operational Excellence • Drive best practices in code quality, testing, and documentation. Review and refine code, ensuring modularity, reliability, and adherence to industry standards. • Analyse production data to identify opportunities for continuous improvement in algorithms and systems. Who you are: • Education: Bachelor's or Master’s in Electronics, Physics, Computer Science, or related field. • Experience: 3-6 years in computer vision and machine learning development. • Core Expertise: • • Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning