Machine Learning Applied Scientist: Ontwikkel en verbeter machine learning modellen voor de in-vehicle spatial awareness stack met transformer- en end-to-end architecturen. Werk hands-on aan data, experimenten en evaluatiepipelines om complexe engineeringuitdagingen aan te pakken in een snelgroeiend team in Amsterdam.
Functiebeschrijving
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 a machine learning applied scientist, you will contribute to the development and improvement of models within the in-vehicle spatial awareness stack. Work hands-on across data, experimentation, and evaluation pipelines, and grow your ability to tackle increasingly complex engineering challenges in a fast-moving 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.