Senior Motion Machine Learning Engineer

We are building next-generation Advanced Motion functions that integrate Camera and Chassis-based sensor data to elevate vehicle perception. We need a versatile Machine Learning Engineer who can tackle a wide range of ML challenges. While a strong focus on computer vision is essential, you will also apply your broader technical skills to develop and deliver diverse, non-vision machine learning solutions. Scope of Work • Define vision-based strategies and technical requirements for precise, real-time hitch angle estimation. • Orchestrate end-to-end data campaigns, building automated pipelines for image ingestion, cleaning, and annotation. • Design, train, and benchmark diverse model architectures to ensure superior accuracy and environmental robustness. • Deploy optimized models to edge hardware (e.g., NVIDIA Orin), utilizing model compression techniques, e.g. quantization/distillation and pruning to minimize latency without compromising accuracy. • Conduct rigorous real-world vehicle testing and failure analysis to ensure the system meets strict safety and performance KPIs. Qualifications and skills required for the role • Master’s Degree in Physics, Mathematics, Complex Adaptive Systems, Computer Science or equivalent fields • Experience in applied research in AI/ML from industry or academia is highly valued • Deep understanding of CNN and Transformer architectures, with practical experience in Object Detection (YOLO, SSD), Semantic Segmentation, and Pose Estimation. • Strong foundation in traditional vision techniques including camera calibration, projective geometry, and image processing using OpenCV. • Proficiency with modern ML frameworks such as PyTorch or TensorFlow. • Strong coding skills in Python for model development and C/C++ for efficient system integration. • Proven experience compressing SOTA cloud-sized models into efficient edge-ready versions using advanced model compression techniques while retaining accuracy. • Proven track record of deploying AI models on embedded edge devices (e.g., NVIDIA Jetson, Drive AGX). • Hands-on experience with acceleration libraries (TensorRT, ONNX Runtime, TVM) • Familiarity with vehicle communication protocols (CAN, FlexRay) and testing tools is highly valued. • Understanding of vehicle dynamics is highly appreciated • Ability to solve complex problems within cross-functional teams using strong analytical and root-cause analysis skills. • Proficient communication skills in English, both spoken and written. Personal attributes • Strong analytical and problem-solving mindset, able to translate customer and system needs into technical concepts. • Structured, self-driven and able to take ownership from idea to validated proof of concept. • Collaborative and open, enjoying cross-functional teamwork with software, hardware, test and product teams. • Ability to explain complex technical topics concisely to both technical and nontechnical stakeholders. • Curious, innovative and eager to explore and benchmark new technologies and control concepts. • Comfortable working in an international environment and managing multiple parallel tasks and priorities.