Why This Role Stands Out
As a Machine Learning Staff Engineer at Tomtom, you'll drive innovation in cutting-edge AI for automotive spatial awareness, enjoying significant technical ownership and mentorship opportunities within a high-velocity team. This hybrid role is ideal for experienced ML engineers passionate about shaping the future of in-vehicle perception and eager to contribute to a globally recognized technology leader. Seize this chance to grow your expertise and make a tangible impact on advanced driver-assistance systems.
Quick Overview
Job Description
We are building a high-performance ADAS Online team focused on advancing state-of-the-art machine learning and AI algorithms for scene understanding and environmental awareness. As ML Staff Engineer, you will drive the algorithmic direction of our present and future in-vehicle spatial awareness stack while remaining deeply hands-on in model design, experimentation, and performance improvement. You will contribute as a senior technical authority and mentor within a small, high-velocity team.
This spatial awareness stack will leverage modern transformer and end-to-end architectures to transform vehicle sensor data along with real-time 3D map data from the cloud into a 3D, semantically defined environment identifying all static and dynamic objects. This is a high-ownership technical role in a fast-moving, data-driven AI environment.
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