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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

19Open Positions

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    Found 3 months ago
  • Schülerpraktikum

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago

Internship / MS thesis – Robotics Engineer (VLM / VLA Models)

sensmore
Found 3 weeks ago
Location
Berlin, Germany
Duration (Months)
6 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
Attractive compensation package and stock options.
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Python
  • PyTorch
  • GenAI
  • Vision-Language Models (VLM)
  • Vision-Language-Action (VLA) models
  • Robotics
  • Computer Vision
  • HuggingFace
  • Gemini
  • Unsloth

Soft Skills

  • take ownership of your tasks
  • getting things done
  • deep interest
  • collaborator

Job Description

We are seeking a highly motivated Master’s student to join our team as an Intern specializing in General Purpose AI (GenAI), specifically Vision-Language Models (VLM) and Vision-Language-Action (VLA) models. This role is focused on the cutting edge of industrial automation: developing VLA systems that allow robots to navigate and interact within heavy industry environments. You will work on bridging the gap between multi-modal perception (video, radar, lidar) and physical execution, using state-of-the-art VLM/VLA frameworks to enhance robotic autonomy and reasoning.

Requirements

  • Current Enrollment: Strong academic standing in a Master’s program (Robotics, Computer Science, Electrical Engineering, Automation, or a related field).
  • Technical Proficiency: Strong hands-on experience with Python and PyTorch.
  • Ownership & Proactivity: Ability to take ownership of your tasks, ability to drive sub-projects from concept to execution with a "getting things done" mentality.
  • GenAI Foundations: A deep interest in Vision-Language Models (VLM) and their application in Robotics and Automation.
  • Project Experience: Initial successful projects or coursework in GenAI, Robotics, or Computer Vision.

Related Field

  • AI & Machine Learning

Related Subfield

  • Robotics & Autonomous Systems

Nice to Haves

  • prompt optimization techniques
  • model fine-tuning
  • machine learning research experience
  • publications
  • high-quality term papers
  • Bachelor’s thesis
  • plan to write their Master’s Thesis in the field of Robotics and Automation.
▶Apply Now

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