Designing end2end solutions for Perception and AV stack to enable road network detections across various driving environments.
Applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks.
Develop generalizable approaches to support diverse ODDs and Country/region expansion.
Drive and prioritize data-driven development.
Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.

PhD with 4+ years, MS with 6+ years, or BS with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus.
Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems.
Proficiency in using deep learning frameworks (e.g., PyTorch).
Experience in data-driven development and collaboration with data and ground truth teams.
Strong programming skills in python and/or C++.

Senior Machine Learning Engineer, Perception – Autonomous Driving

Key skills