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:
We are seeking a highly motivated Research Intern to contribute to our work on task decomposition and multimodal fusion for imitation learning in robotic manipulation. This internship is ideal for students or early-stage researchers passionate about applying machine learning, computer vision, and robotics to real-world industrial automation challenges.
Your Responsibilities:
- Develop and evaluate task decomposition methods for complex robotic manipulation tasks.
- Investigate multimodal sensor fusion (e.g., vision, force, tactile) techniques to improve policy learning.
- Implement and benchmark imitation learning pipelines using both simulated and real-world robotic setups.
- Collaborate with our engineering team to transfer research outcomes to prototype systems.
- Document and present findings to both technical and non-technical stakeholders.
Qualifications:
Must Have:
- Enrolled in a Master's or PhD program in Robotics, Machine Learning, Computer Vision, or a related field with a minimum GPA of 1.7 (German scale).
- OR GitHub repository with at least 5 stars
Other Requirements:
- Familiarity with reinforcement learning, imitation learning, or behavior cloning methods.
- Hands-on experience with robotic platforms or simulation environments (e.g., PyBullet, Isaac Gym).
- Strong programming skills in Python; familiarity with PyTorch or TensorFlow is a plus.
- Excellent problem-solving skills and the ability to work independently.
What we offer:
- Flexible working hours
- Option to work from home when needed
- A motivated team and an open corporate culture
Benefits:
MinSalary: MaxSalary: SalaryCurrency: EUR Remote Model: H Country Code: de