CARIAD SE
Internship / Master Thesis - End-to-end Automated Driving with World Models(m/w/x)
Full-timeInternshipWith Homeoffice
from 13.9 / hour
München
New Job?Nejo!
The AI Job Search Engine
CA
CARIAD SEInternship / Master Thesis - End-to-end Automated Driving with World Models(m/w/x)
München
from 13.9 / hour
Full-timeInternshipWith Home Office
Description
In this role, you will advance automated driving by researching neural networks and world models. You'll collaborate with experts to conduct experiments that aim for a meaningful scientific contribution.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master student in Computer Science, Robotics, Electrical Engineering or similar
- •Knowledge in (self-)supervised learning, transformer-based architectures, and foundation models
- •Knowledge of PyTorch, software development, Python, and C++
- •Structured work, commitment, and flexibility
- •Strong communication skills and analytical understanding
- •Master student in Computer Science, Robotics, Electrical Engineering or similar
- •Knowledge in (self-)supervised learning, transformer-based architectures, and foundation models
- •Knowledge of PyTorch, software development, Python, and C++
- •Structured work, commitment, and flexibility
- •Strong communication skills and analytical understanding
Education
Currently in higher education
Tasks
- •Assess open-source neural networks for automated driving
- •Leverage pretrained foundational models for network representation
- •Optimize networks for single-stage training and closed-loop performance
- •Adapt end-to-end models for predictive world model compatibility
- •Conduct experiments on public and internal datasets
- •Collaborate with machine learning experts and PhD students
- •Contribute to scientific research and publications
Tools & Technologies
PyTorchPythonC++
Languages
English – Business Fluent
Benefits
Other Benefits
- •Application assistance for disability
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of CARIAD SE 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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CARIAD SEInternship / Master Thesis - End-to-end Automated Driving with World Models(m/w/x)
München
from 13.9 / hour
Full-timeInternshipWith Home Office
New Job?Nejo!
The AI Job Search Engine
Description
In this role, you will advance automated driving by researching neural networks and world models. You'll collaborate with experts to conduct experiments that aim for a meaningful scientific contribution.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master student in Computer Science, Robotics, Electrical Engineering or similar
- •Knowledge in (self-)supervised learning, transformer-based architectures, and foundation models
- •Knowledge of PyTorch, software development, Python, and C++
- •Structured work, commitment, and flexibility
- •Strong communication skills and analytical understanding
- •Master student in Computer Science, Robotics, Electrical Engineering or similar
- •Knowledge in (self-)supervised learning, transformer-based architectures, and foundation models
- •Knowledge of PyTorch, software development, Python, and C++
- •Structured work, commitment, and flexibility
- •Strong communication skills and analytical understanding
Education
Currently in higher education
Tasks
- •Assess open-source neural networks for automated driving
- •Leverage pretrained foundational models for network representation
- •Optimize networks for single-stage training and closed-loop performance
- •Adapt end-to-end models for predictive world model compatibility
- •Conduct experiments on public and internal datasets
- •Collaborate with machine learning experts and PhD students
- •Contribute to scientific research and publications
Tools & Technologies
PyTorchPythonC++
Languages
English – Business Fluent
Benefits
Other Benefits
- •Application assistance for disability
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of CARIAD SE 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.
About the Company
CARIAD SE
Industry
Automotive
Description
The company builds automotive software platforms and digital customer functions for brands like Audi, Volkswagen, and Porsche.
Not a perfect match?
- CARIAD SE
Internship / Master Thesis - End-to-end Automated Driving with World Models(m/w/x)
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