About the role
Aptiv is a global technology company developing solutions for safer, greener, and more connected mobility. For our engineering center in Krakow, Poland, we are looking for a Senior AI/ML Engineer to develop machine learning solutions for perception, environment understanding, prediction, and planning in automotive applications.
The role supports assisted and automated parking functions, covering perception of parking environments, behavior understanding, and trajectory planning. Your role Lead development of machine learning solutions for perception, prediction, and planning functions. Drive technical decisions, architecture, and algorithm design for complex AI/ML systems. Define approaches for computer vision and multi-modal sensor fusion solutions. Guide system development from data pipelines and model training through deployment. Mentor engineers and support technical growth within
the team. Establish evaluation methodologies and performance targets for production systems. Collaborate across global engineering teams and contribute to technology roadmaps. Drive continuous improvement of algorithms, tools, and engineering practices. Your background MSc or PhD in Computer Science, Machine Learning, Computer Vision, Robotics, or a related field. Extensive experience developing and delivering ML solutions in production environments. Strong expertise in several of: Computer vision (detection, segmentation, tracking, 3D perception) Advanced deep learning architectures and transformer-based models Representation learning, self-supervised learning, multimodal learning, or generative AI Prediction, forecasting, planning, or reinforcement learning Deep hands-on experience with PyTorch or equivalent frameworks. Strong software engineering skills in Python and/or C++. Experience leading technical solutions from concept through deployment. Strong communication and stakeholder collaboration skills. Preferred Technical leadership of AI/ML projects or teams. Experience with large-scale training infrastructure and distributed learning. Experience with embedded deployment and performance optimization. Deep understanding of ADAS, autonomous driving, or automated parking systems. Track record of patents, publications, or innovative product contributions.
