AI Engineer

• 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

• 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, * applied machine learning: 3 years (Required)

Pulled from the full job description

• Free parking
• Work from home
• Flexible schedule, 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