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 current 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 – 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.