AI/ML Engineer Autonomous Systems

Design, train, and deploy machine learning models for autonomous driving systems. You will integrate trained models into production systems, run structured experiments to validate performance, and optimize models for real-time operation within the overall software stack.

What you'll do

• Design, train, and fine-tune machine learning models to meet performance, accuracy, and robustness requirements for autonomous driving use cases
• Integrate trained models into production systems, ensuring reliable, efficient, and safe operation within the overall software stack
• Run structured experiments and evaluations to validate model performance, using established metrics and benchmarks
• Optimize models for latency, memory, and compute constraints relevant to real-time autonomous systems
• Partner with data, perception, and simulation teams to ensure models are built on the right data and validated against real-world scenarios

What you'll need

• A completed degree in computer science, machine learning, data science, or a comparable field — or equivalent vocational training/apprenticeship in a relevant technical discipline
• 3+ years of relevant hands-on experience in applied AI/ML engineering
• Strong knowledge of deep learning and reinforcement learning; familiarity with Active Inference approaches is a plus
• Strong Python skills with solid ML fundamentals, and hands-on experience with deep learning frameworks (PyTorch and/or TensorFlow)
• Experience with reinforcement learning tooling (e.g. Stable-Baselines3, RLlib) and experiment-tracking tools (e.g. MLflow, Weights & Biases)
• Experience deploying and optimizing models for production/real-time systems (e.g. ONNX, TensorRT, C++ integration)
• Solid engineering practices: Git, CI/CD pipelines, and containerization (Docker, ideally Kubernetes)
• Comfortable working with cloud/GPU compute environments and data tooling; a valid driving license and English C1 required

Nice to have

• Experience in the automotive industry and a track record of turning research papers into working product features
• Experience with simulation environments such as CARLA and ROS/ROS2 familiarity
• German language skills

What they offer

• Professional development with covered costs for further education and training
• Flexible working hours with room for life realities
• Subsidy for public transport tickets
• Corporate Benefits discounts on fashion, beauty, travel, and culture
• Attractive office location in Wedding with excellent public transport connections