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BMBMW Group

Intern Physical AI - Imitation Learning(m/w/x)

München
Full-timeInternshipOn-site
AI/ML

Applied research in Physical AI for intelligent robot production support. Contribute to imitation learning pipelines and curate diverse datasets. Machine learning and PyTorch experience required. Mobile work, flexible hours, comprehensive mentoring.

Requirements

  • Studies in computer science, software engineering, robotics, or related field
  • Strong knowledge in Ubuntu, Python, ROS, and Docker
  • Strong knowledge and experience in machine learning and PyTorch
  • Experience with imitation learning and vision-language-action models (plus)
  • Understanding of software engineering principles, TDD, code reviews, and Git branching
  • Demonstrated qualifications in real-world projects (ideally)
  • Fluent English skills
  • German skills (advantageous)

Tasks

  • Support applied research in Physical AI
  • Contribute to imitation learning pipeline
  • Curate diverse data sets for imitation learning
  • Conduct experiments on model generalization
  • Test model robustness and reliability
  • Improve software libraries for data acquisition
  • Maintain data generation and preprocessing tools

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent
  • GermanBasic

Tools & Technologies

  • Ubuntu
  • Python
  • ROS
  • Docker
  • PyTorch
  • Git

Benefits

Flexible Working

  • Flexible working hours
  • Mobile work

Competitive Pay

  • Attractive & fair compensation

Mentorship & Coaching

  • Comprehensive mentoring & onboarding

Learning & Development

  • Personal & professional development

Other Benefits

  • Student apartments
  • BMW jobs benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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