What will your job look like: Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology. Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction). Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms. All you need is: M.Sc. in Mathematics, Computer Science, Electrical Engineering, or related field (PhD - an advantage) 8+ years of hands-on experience developing computer vision and deep learning systems Proven experience driving vision models from research through POC and into production Able to take a vaguely-defined research direction and own it end-to-end, independently Strong programming skills in Python Advantage: Broad hands-on experience across vision tasks such as object detection and tracking, and 3D scene understanding Technical leadership experience (team management experience an advantage) Experience in motion prediction, trajectory forecasting, behavior modeling, or learning-based navigation for autonomous systems First-authored publications at leading peer-reviewed conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICML, ICLR)
