Senior ML Research Engineer - Computer Vision is a Computer Vision Engineer role (full-time). with Quickswoop. in REMOTE, WARSAW, DE. Compensation shown: $86K–$143K (est.). Imported listing (source: quickswoop.infinityfree.me). Apply on the employer's site (quickswoop.infinityfree.me).
Imported listing (source: quickswoop.infinityfree.me) · Apply on quickswoop.infinityfree.me
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Imported job description
Sourced from quickswoop.infinityfree.me
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.
Responsibilities
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.
Requirements
Bachelor's or Master's in Electronics, Physics, Computer Science, or related field
4-7 years in computer vision and machine learning development
Quickswoop is a UK-based company specializing in logistics management and parcel delivery solutions, focused on streamlining last-mile delivery processes for e-commerce. It also operates as a platform for remote job listings.