AI Engineer (m/f/d)

Listed as a remote role based in Heidelberg, Baden-Württemberg, Germany. AI Engineer (m/f/d) FLEXOO makes Physical AI possible. We develop and manufacture a scalable technology platform that combines ultra-thin, freely moldable sensors with real-time data processing at the edge—thereby creating the physical data foundation for modern industrial systems. Our expertise in printed electronics forms the technological basis for this. As a deep-tech company based in Heidelberg, we combine development, industrial manufacturing, and application expertise—with a clear focus on translating technologies into scalable applications. Join our innovative development team and shape the future of intelligent technology as an AI Engineer (m/f/d), where your ideas turn cutting-edge research into real-world impact. Your Tasks Design and implement end-to-end AI pipelines for time-series and event-driven sensor data across battery and robotics applications Combine physics-based models with data-driven approaches, hybrid and physics-informed machine learning to build systems that are robust, interpretable, and certifiable for industrial deployment Deploy and optimize AI models on embedded and edge hardware, from microcontrollers to edge gateways, with hard latency and memory constraints Collaborate closely with hardware, firmware, and systems engineers to integrate sensor electronics, data acquisition, and AI inference into real devices Develop, validate, and benchmark models for state estimation, anomaly detection, fault classification, and remaining useful life prediction in both battery management and robotic manipulation contexts Your Profile Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field 3+ years of applied machine learning experience, ideally for sensor-based systems in robotics, industrial automation, or energy storage Strong Python and C++ skills; practical experience with PyTorch ; JAX experience is a plus for physics-informed modelling Proven experience deploying models to embedded or edge targets; familiarity with edge deployment pipelines (ONNX, TensorFlow Lite, or equivalent) Solid understanding of time-series data engineering: synchronization, cleaning, labeling, and handling of large continuous sensor streams Experience with at least two of: reinforcement learning, imitation learning, multimodal foundation models, or physics-informed neural networks Familiarity with cloud infrastructure and CI/CD for ML systems (MLOps) Published research in machine learning, robotics, or sensor intelligence at a leading venue is an advantage Proficiency in English and German We offer At FLEXOO, you can expect more than just a job — you will become part of an innovative environment where your ideas matter and your contributions are visible: You are part of a team of experts with the opportunity to shape next-generation AI functionality in sensor-rich systems such as battery storage solutions and robots You will closely collaborate with experts in printed electronics, embedded systems, and industrial monitoring We offer you a long-term position with room to grow into technical leadership for AI in sensor-based products Attractive and performance-based compensation in a future-oriented company Flexible working hours and the option to work remotely one day per week Various benefits (business lunch, free hot and cold drinks, job ticket, etc.) Regular team events Modern location in Heidelberg Bahnstadt, 10 minutes from the main train station, free parking Ready to build the future? Then apply now directly via the application button. Any questions? Feel free to get in touch — we look forward to hearing from you. Marion Lohnert | HR-Manager | hr@flexoo.com Show more Show less Seniority level Associate Employment type Full-time Job function Research Industries Electrical Equipment Manufacturing