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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
What we offer:
- Wellpass (gym membership)
- Free meals at the workplace
- 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
Benefits: MinSalary: MaxSalary: SalaryCurrency: EUR Remote Model: Hybrid Country Code: de
