Internship in Machine Learning and Robotics starting January 2027
Original title: Praktikum im Bereich Machine Learning und Robotik ab Januar 2027
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This job is at Daimler Truck AG. You apply to them, not to GoAusbildung.
Start Date
January 2027
Sector
Forschung & Entwicklung incl. Design
Salary
Competitive salary
Listing data as of November 3, 2026
About this Apprenticeship
- ABOUT US At Daimler Truck we are changing today's transport industry and achieving real impact together. We take responsibility worldwide and work as a global team. We drive our progress and success together – everyone at Daimler Truck makes the difference. Together we want to reduce our CO2 footprint, increase safety on and off the road, develop more intelligent technologies and attractive financial solutions. All this is essential to reach our goal – for everyone who moves the world. Become part of our global team: You make the difference – YOU MAKE US In the "Advanced Automation and Physical AI" team of Daimler Truck AG you develop AI-supported vision and robotics solutions for intralogistics and assembly, with industrial robots as well as humanoid robots. Your workplace is the research factory ARENA2036 in Vaihingen and our site in Leinfelden-Echterdingen. You work closely with start-ups and research partners. In our robotics lab on the research campus ARENA2036 in Stuttgart you develop computer vision and robotics solutions, from the first idea to the live demo on the robot. THIS IS WHAT YOU CAN EXPECT
- Development of computer vision solutions for quality control and anomaly detection, from data acquisition to the model in use
- Implementation of camera-based robot controls for object tracking and manipulation
- Collaboration on teleoperation and data acquisition with humanoid robots
- Evaluation of current AI models for robotics, e.g. Vision-Language-Action models (VLA), in simulation and on the real robot
- Construction and programming of demonstrators with industrial robots (Universal Robots, FANUC) and humanoid robots (Unitree)
- Planning and execution of experiments with robot systems, including documentation and video reports (e.g. with DaVinci Resolve)
- Test, validation and maintenance of the implemented systems
- Collaboration in project management: presentations, minutes and reporting
- Research and evaluation of technology and start-up partners
What You'll Learn
- Development of computer vision solutions for quality control and anomaly detection, from data acquisition to the model in use
- Implementation of camera-based robot controls for object tracking and manipulation
- Collaboration on teleoperation and data acquisition with humanoid robots
- Evaluation of current AI models for robotics, e.g. Vision-Language-Action models (VLA), in simulation and on the real robot
- Construction and programming of demonstrators with industrial robots (Universal Robots, FANUC) and humanoid robots (Unitree)
- Planning and execution of experiments with robot systems, including documentation and video reports (e.g. with DaVinci Resolve)
- Test, validation and maintenance of the implemented systems
- Collaboration in project management: presentations, minutes and reporting
- Research and evaluation of technology and start-up partners
Requirements
- Studies in robotics, computer science, mechatronics, electrical engineering or a comparable field
- Sound programming skills in Python
- Basic knowledge in computer vision and robotics, e.g. from study projects or theses
- Good English skills in writing and speaking
- Independent, analytical way of working and enjoyment of practical work in the lab
- Experience with ROS 2 and Git
- Knowledge of C++ and ML frameworks (e.g. PyTorch)
- First practical experience with industrial robots (e.g. UR, FANUC, KUKA) or humanoid robots
- Experience with Linux
What Daimler Truck AG offers
- An exciting and varied activity in a dynamic environment
- The opportunity to contribute to projects independently and bring in your ideas
- An attractive remuneration and flexible working hours
- Insights into the working world of a leading company in the commercial vehicle industry
- Participation and contribution in exciting exchange and networking formats of the cross-location Students @ Daimler Truck network
- Health measures
- Flexible working hours possible
- Company mobile phone possible
- Employee events
- Coaching
- Employee participation possible
- Home office possible
- Employee discounts possible
- Company pension scheme
- Internet use
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