Senior Staff Research Engineer

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. Job Overview: Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc. As a Senior Staff Research Engineer at Netradyne, you will lead the development of cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries. You will collaborate with cross-functional teams to build and deploy scalable and reliable AI solutions in a fast-paced environment. Key Responsibilities: ​ You will help design, implement and commercialize driver monitoring and driver assistance algorithms. You will have access to very large datasets and will get to deploy new algorithms/models into thousands of vehicles. As a machine learning research engineer, you may Design and commercialize algorithms characterizing driving behavior. Design, implement and track key metrics; and architect data-driven solutions. Improve machine learning infrastructure for scalable training and inference. Innovate and develop proof of concept solutions showcasing novel capabilities. Mandatory Skills: ​ B Tech, M. Tech or PhD in computer science, electrical engineering or a related area. Excellent programming skills – Python (required) and C++ (desired). 7+ yrs with Research or industry experience within computer vision and machine learning models. Ability to take abstract product concepts and turn them into reality. Ability to innovate on cutting-edge problems without documented solutions. Hands-on experience in handling e