Staff Research Engineer - Machine Learning Netradyne

7.0 - 11.0 years

0 Lacs

karnataka

On-site

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. Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry. Netradyne's technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways, even off-road. Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD, etc. We build 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. **Role and 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 software 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. **Requirements:** - B Tech, M. Tech or PhD in computer science, electrical engineering or a related area. - Excellent programming skills in Python (required) and C++ (desired). - 7+ yrs with Research or industry experience within computer vision and machine learning. - 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 edge deployments targeting various HW platforms. **Desired Skills:** - Experience with image, video and time-series data. - Experience with Camera calibration, multi-view geometry, 3D reconstruction, SLAM. - Experience with SOTA multi-camera BEV and Occupancy prediction algorithms. - Experience with road scene understanding (objects, lanes, intersections, signs, etc.). - Experience with successfully applying machine learning to solve a real-world problem. - Experience with conducting successful statistical experiments. If there is a match between your experiences/skills and the Company's needs, we will contact you directly. Netradyne is an equal-opportunity employer. Applicants only - Recruiting agencies do not contact. Recruitment Fraud Alert! Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.,

Posted 1 week ago

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Senior Staff Research Engineer Netradyne

10.0 - 14.0 years

0 Lacs

karnataka

On-site

As a technology company founded in 2015, Netradyne specializes in leveraging expertise in Artificial Intelligence, Deep Learning, and Edge Computing to provide innovative solutions to the transportation industry. Our technology is utilized in a wide range of vehicles, from passenger cars to semi-trailers, operating on various types of roads. Netradyne is currently seeking skilled engineers to join our Analytics team, which includes graduates from prestigious institutions such as IITs, IISC, Stanford, UIUC, and UCSD. As part of this team, you will be involved in developing cutting-edge AI solutions that enable drivers and fleets to identify unsafe driving scenarios in real-time, thereby preventing accidents and minimizing fatalities and injuries. In this role, your responsibilities will include designing, implementing, and commercializing driver monitoring and driver assistance algorithms. You will have the opportunity to work with extensive datasets and deploy new algorithms/models across thousands of vehicles. As a machine learning software engineer, you may be tasked with developing algorithms to characterize driving behavior, tracking key metrics, architecting data-driven solutions, enhancing machine learning infrastructure, and creating proof of concept solutions that demonstrate novel capabilities. To be successful in this position, you should possess a B Tech, M. Tech, or PhD in computer science, electrical engineering, or a related field. Strong programming skills in Python (required) and C++ (desired) are essential, along with 10+ years of research or industry experience in computer vision and machine learning. You should also demonstrate the ability to translate abstract product concepts into tangible solutions, innovate on challenging problems, and have hands-on experience with edge deployments targeting various hardware platforms. Desired skills for this role include expertise in handling image, video, and time-series data, proficiency in camera calibration, multi-view geometry, 3D reconstruction, and SLAM, as well as experience with state-of-the-art multi-camera BEV and Occupancy prediction algorithms. Additionally, familiarity with road scene understanding, machine learning application in real-world scenarios, and successful statistical experiment conduction would be advantageous.,

Posted 1 month ago

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