Description:

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 Python(required) and C++ (desired).

- 10+ 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.