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).
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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full time