Research Engineer - Training Behavior Models (f/m/div.)

- excellent MSc in Computer Science, Machine Learning, Robotics, Control, or related technical fields - PhD in Machine Learning, Reinforcement Learning, Robotics, Generative AI, or related areas preferred - strong publication record in leading AI, machine learning, and robotics venues such as NeurIPS, ICLR, ICML, CoRL, RSS, ICRA, AAAI, IJCAI, or similar - expertise in reinforcement learning and sequential decision-making for complex environments - experience with model-based, offline, hierarchical, imitation, or constrained RL - training large-scale behavior or policy models from multimodal data and interaction - designing methods for long-horizon optimization, generalization, and robust adaptation - strong interest in behavior validation, robustness testing, sim-to-real, and safety - solid understanding of world models, latent dynamics, and sequence or generative models - using predictive models for imagination-based training, rollouts, and planning - experience with latent-state modeling, uncertainty-aware prediction, and validation - interest in connecting data-driven learning with physically grounded reasoning - experience with large-scale deep learning and transformer-based or multimodal models - representation learning across visual, temporal, action, language, or sensor modalities - interest in large behavior models as transferable, reusable AI components - linking large-model training with policy learning and environment interaction - strong Python skills and experience with PyTorch, TensorFlow, or JAX - experience with simulation platforms (e.g., Isaac Sim, CARLA, MuJoCo, Habitat) - familiarity with distributed training, benchmarking, and reproducible pipelines - experience with Docker, Git, CI/CD, and multi-GPU or cloud infrastructure - strong scientific mindset with a proven publication record in top-tier AI and robotics venues - ability to translate cutting-edge research into practical, value-creating innovations - collaborative mindset and enjoy working across AI research, robotics, control, within engineering teams - fluent English skills written and spoken, German is a plus