onetrack.ai
Computer Vision and Deep Learning Engineer
onetrack.ai - New York, New York, us, 10261
Work at onetrack.ai
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Overview
Computer Vision And Deep Learning Engineer
OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. We're off to a big start, and we're doing it on our terms and timelines. We are seeking a Computer Vision and Deep Learning Engineer with 4+ years of experience (or equivalent) in developing innovative AI solutions. The ideal candidate will excel in conducting advanced research, implementing cutting edge technology in applications, designing production-ready applications, and optimizing vision systems across on-premises and cloud environments. This role requires strong expertise in Python (e.g., PyTorch, OpenCV) and proficiency in scalable data processing for images, videos, and multimodal datasets. Key Responsibilities Conduct advanced research to develop, implement and experiment traditional and cutting edge computer vision and deep learning algorithms. Design and build production-ready vision and deep learning applications to meet diverse internal and external requirements. Optimize existing on-device and on-premises vision and deep learning software for maximum performance and efficiency. Develop scalable systems to process, organize, and analyze large datasets, including images, videos, and IMU data. Document research findings, system designs, and software implementations to ensure clarity and reproducibility. Integrate, test, and deploy high-performance solutions across on-premises and cloud environments. Collaborate with cross-functional teams in a fast-paced, dynamic environment to innovate and solve complex problems.
OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. We're off to a big start, and we're doing it on our terms and timelines. We are seeking a Computer Vision and Deep Learning Engineer with 4+ years of experience (or equivalent) in developing innovative AI solutions. The ideal candidate will excel in conducting advanced research, implementing cutting edge technology in applications, designing production-ready applications, and optimizing vision systems across on-premises and cloud environments. This role requires strong expertise in Python (e.g., PyTorch, OpenCV) and proficiency in scalable data processing for images, videos, and multimodal datasets. Key Responsibilities Conduct advanced research to develop, implement and experiment traditional and cutting edge computer vision and deep learning algorithms. Design and build production-ready vision and deep learning applications to meet diverse internal and external requirements. Optimize existing on-device and on-premises vision and deep learning software for maximum performance and efficiency. Develop scalable systems to process, organize, and analyze large datasets, including images, videos, and IMU data. Document research findings, system designs, and software implementations to ensure clarity and reproducibility. Integrate, test, and deploy high-performance solutions across on-premises and cloud environments. Collaborate with cross-functional teams in a fast-paced, dynamic environment to innovate and solve complex problems.