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 learningAbility 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 dataExperience with Camera calibration, multi-view geometry, 3D reconstruction, SLAMExperience 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.(ref : hirist.tech)