Imitation Learning Researcher (m/f/d)

Stellenbeschreibung:

Who We Are:

We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries—empowering businesses to streamline operations, boost productivity, and unlock new possibilities.

Overview:

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.

Your Responsibilities:

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.

Qualifications:

Education and Experience

Master’s or Ph.D. in Computer Science, Machine Learning, Robotics, or a related field.

Skills

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