Senior ML Research Engineer - Computer Vision

Quickswoop is hiring a Senior ML Research Engineer to join Entrupy's team, focusing on computer vision for item authentication and fingerprinting. This remote role involves researching and deploying state-of-the-art CV models, mentoring junior engineers, and optimizing algorithms for edge devices.

• 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.
• Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications.
• Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems.
• Optimize algorithms for edge device deployment, focusing on latency, accuracy, and power consumption.
• Drive best practices in code quality, testing, and documentation.

• Bachelor's or Master's in Electronics, Physics, Computer Science, or related field
• 4-7 years in computer vision and machine learning development
• Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies