ADAS Data Science & Machine Learning Engineer

Responsibilities

• Develop the design and scaling of AI-based solutions within the ADAS field
• Evaluate and implement modern generative AI models, including LLM-based generators, diffusion models, and GANs
• Generate synthetic data using Generative AI for software-in-the-loop (SiL) and hardware-in-the-loop (HiL) test benches
• Ensure AI and LLM-based solutions are applicable for development and provide adequate training methodologies
• Maintain responsibility for the state-of-the-art AI models currently in use

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience
• 6-8 years of professional experience in ADAS or autonomous driving functions
• Deep knowledge of artificial intelligence, including large language models (LLMs), neural network training, and world foundation models
• Practical knowledge of sensor data, including camera, LiDAR, and radar
• Strong self-motivation to stay updated on fast-moving trends like agentic AI and new neuronal network developments

About the Company

ZF is a global technology company shaping the future of mobility. We are committed to building a culture of inclusiveness and diversity, working to remove barriers so all employees can reach their full potential as we develop next-generation automotive solutions.