Senior Research Engineer

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 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.
• In-depth understanding of Machine learning (Deep learning Classic ML) and computer vision concepts
• Excellent programming skills Python (required) and C++ (desired).
• 6.5+ 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 edge deployments targeting various HW platforms.

Preferred Skills:

• Experience with time-series data
• Experience with Camera calibration, multi-view geometry, 3D reconstruction, SLAM.
• 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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.