Magna Electronics Europe GmbH & Co. OHG
Working Student - AI & Automation(m/w/x)
Part-timeWorking StudentOn-site
München
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AGAgile Robots
Working Student Robot Teaching Solutions & Learning Signal Evaluation(m/w/x)
München
Part-timeWorking StudentOn-site
AI/ML
Nejo AI Summary
Robot teaching data analysis and PyTorch model experimentation. Python and deep learning model training skills required. Interdisciplinary team, practical learning opportunities.
Requirements
- Master's program enrollment in Computer Science, Machine Learning, Robotics, or related technical field
- Solid Python skills and working familiarity with scientific computing libraries
- Hands-on experience training deep learning models using PyTorch
- Ability to design and execute structured experiments
- Ability to interpret results and reason about model behavior
- Practical experience with Git-based development workflows
- Practical experience with Ubuntu environments including ROS/ROS2
- Prior exposure to robot learning workflows
- Prior exposure to demonstration data
- Prior exposure to teleoperation systems
- Familiarity with imitation learning approaches
- Familiarity with behavioral cloning approaches
- Familiarity with sequence modeling approaches
- Experience with experiment tracking tools
- Experience with reproducibility tooling
Tasks
- Analyze teaching data structure and quality
- Run experiments to assess learnable behavior
- Maintain reproducibility pipelines
- Prepare and execute robot demonstrations
- Handle hardware bring-up, calibration, and safety checks
- Deploy and validate VLA models on robots and in simulation
- Run fine-tuning experiments and track performance
- Collect and organize experiment results
- Support systematic data and model comparisons
- Identify and address model capability gaps
- Collaborate with robotics, ML, and software teams
- Manage experiment configuration and versioning
- Document results in clear technical reports
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Git
- Ubuntu
- ROS
- ROS2
- Weights & Biases
- Docker
Benefits
Learning & Development
- Practical learning opportunities
Other Benefits
- World-class investors
Diverse Work
- Interdisciplinary team
Informal Culture
- International team
- Collaborative work environment
Corporate Discounts
- Corporate Benefits Program
Additional Allowances
- 100 EUR net per month
Modern Office
- Modern office facilities
Startup Environment
- Rooftop terrace
Snacks & Drinks
- Free drinks
- Free fruits
Team Events
- Company events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Agile Robots 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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AGAgile Robots
Working Student Robot Teaching Solutions & Learning Signal Evaluation(m/w/x)
München
Part-timeWorking StudentOn-site
AI/ML
Nejo AI Summary
Robot teaching data analysis and PyTorch model experimentation. Python and deep learning model training skills required. Interdisciplinary team, practical learning opportunities.
Requirements
- Master's program enrollment in Computer Science, Machine Learning, Robotics, or related technical field
- Solid Python skills and working familiarity with scientific computing libraries
- Hands-on experience training deep learning models using PyTorch
- Ability to design and execute structured experiments
- Ability to interpret results and reason about model behavior
- Practical experience with Git-based development workflows
- Practical experience with Ubuntu environments including ROS/ROS2
- Prior exposure to robot learning workflows
- Prior exposure to demonstration data
- Prior exposure to teleoperation systems
- Familiarity with imitation learning approaches
- Familiarity with behavioral cloning approaches
- Familiarity with sequence modeling approaches
- Experience with experiment tracking tools
- Experience with reproducibility tooling
Tasks
- Analyze teaching data structure and quality
- Run experiments to assess learnable behavior
- Maintain reproducibility pipelines
- Prepare and execute robot demonstrations
- Handle hardware bring-up, calibration, and safety checks
- Deploy and validate VLA models on robots and in simulation
- Run fine-tuning experiments and track performance
- Collect and organize experiment results
- Support systematic data and model comparisons
- Identify and address model capability gaps
- Collaborate with robotics, ML, and software teams
- Manage experiment configuration and versioning
- Document results in clear technical reports
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Git
- Ubuntu
- ROS
- ROS2
- Weights & Biases
- Docker
Benefits
Learning & Development
- Practical learning opportunities
Other Benefits
- World-class investors
Diverse Work
- Interdisciplinary team
Informal Culture
- International team
- Collaborative work environment
Corporate Discounts
- Corporate Benefits Program
Additional Allowances
- 100 EUR net per month
Modern Office
- Modern office facilities
Startup Environment
- Rooftop terrace
Snacks & Drinks
- Free drinks
- Free fruits
Team Events
- Company events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Agile Robots 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Agile Robots
Industry
IT
Description
The company develops systems that combine force-moment-sensing and image-processing technology for robotic solutions.
Not a perfect match?
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