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Internship R&D

Sereact GmbH· Software
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Stuttgart Schockenriedstr. 17Full-timePosted 3mo ago

About the role

Research Intern focusing on task decomposition and multimodal fusion for imitation learning in robotic manipulation, applying machine learning, computer vision, and robotics to real-world industrial automation challenges.

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

  • 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
  • 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.

Skills

Required:RoboticsMachine LearningImitation LearningPython
Nice to have:Computer VisionReinforcement LearningPyTorch or TensorFlow

Benefits

  • Flexible working hours
  • Option to work from home when needed
  • A motivated team and an open corporate culture
Last updated Sep 9, 2026. Interested? Apply on the company site.
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About Sereact GmbH

One Brain. Any Robot.

The industrial autonomy platform providing real-world autonomous robotics powered by Vision-Language-Action AI.

CortexHumanoidLensPick and PlacePlatformPutwallReturns HandlingRobotic Putwall
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