Imitation Learning Researcher

As an Imitation Learning Researcher, you will work on developing and improving state-of-the-art imitation learning algorithms and methodologies. You’ll design experiments, create datasets, and develop models that enable systems to mimic human decision-making processes in real-world applications. This role involves close collaboration with cross-disciplinary teams to integrate findings into practical applications., Design

• Design and implement advanced imitation learning algorithms.
• Develop, test, and deploy models in Python/C++/TensorRT/GGUF.

Optimize

• Analyze and preprocess datasets for training models.
• Conduct experiments to evaluate model performance and improve robustness.
• Collaborate with other researchers and engineers to integrate solutions into larger systems.

Do you have experience in Python?, Do you have a Master’s degree?, * Master’s or Ph.D. in Computer Science, Machine Learning, Robotics, or a related field., * Strong proficiency in Python and PyTorch.

• Strong understanding of machine learning principles, particularly reinforcement, imitation learning, behaviour cloning, generative AI (e.g. Diffusion, Flow Matching, VAEs).
• Familiarity with teleoperation, ROS2 framework and open-source platforms such as HuggingFace, Detectron2.
• Strong ability to customize algorithm for different use-cases and multi-modality fusion.
• Strong analytical and problem-solving skills

• Flexible working hours
• Option to work from home when needed
• A motivated team and an open corporate culture
• Competitive compensation and excellent career development opportunities

We build the intelligence that lets robots sense, reason, and act in the real world-moving beyond the lab and into everyday industrial settings like warehouses and factories. Our technology closes the automation gaps that traditional systems can’t solve. We are on a mission to redefine how physical work gets done, and we’re looking for curious, bold thinkers to help shape the future of robotics with us.