Erstellt am 10. Juni 2026
Imitation Learning Engineer (m/f/d)
Sereact GmbH
Stuttgart, Baden-Württemberg 70173, Germany
Vollzeit
Reference: 1364876046
Who We Are:
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.
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
Optimize
Education and Experience
Skills
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.
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.
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
- Wellpass (gym membership)
- 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
