Internship - Failure Mode Discovery and Mitigation for Machine Learning Models (f/m/d)

Internship - Failure Mode Discovery and Mitigation for Machine Learning Models (f/m/d)

Job ID:  24312
Company:  CARIAD SE
Location: 

Ingolstadt, DE, 85053

Department:  Apprenticeship & Study
Career Level:  Students
Working Model:  Full-time
Contract Type:  Fixed-term
Remote Working:  By agreement
Posting Date:  Apr 14, 2026

Internship - Failure Mode Discovery and Mitigation for Machine Learning Models (f/m/d)

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.

Join us and be part of this exciting journey!

YOUR TEAM

To support our "AI Performance Management" team, we are currently looking for an intern. In your role you get first-hand experience in developing model/data debugging/debiasing methods and will be an integral part of the team that works on providing certifications of performance related requirements relevant to our full software stack.

WHAT YOU WILL DO

  • Research and assess novel methods for model/data debugging/debiasing enhancing the model robustness for the perception task in Automated Driving 
  • Investigate, train and evaluate neural networks for different downstream tasks (e.g.  classification, object detection or beyond) 
  • Implement, apply, and evaluate model/data debugging/debiasing methods on trained perception models and on popular benchmarks 
  • Develop algorithmic ideas addressing open research challenges related to your topic 

WHO YOU ARE

  • Enrolled student in the area of computer science, electrical engineering, data science, robotics or similar field (please specify the expected date of your graduation or end of enrollment) 
  • Profound knowledge in machine learning, especially deep neural networks in safety and robustness aspects 
  • Proficiency in Python and deep learning frameworks, e.g., PyTorch 
  • Experience in perception tasks like object detection, or beyond 
  • Strong communication skills and analytical understanding 

NICE TO KNOW

  • Remote work options within Germany                         
  • Duration: 3 - 6 months 
  • 35 hours/week                     
  • Salary: 13,90 €/hour

At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.

Join us and be part of this exciting journey!

YOUR TEAM

To support our "AI Performance Management" team, we are currently looking for an intern. In your role you get first-hand experience in developing model/data debugging/debiasing methods and will be an integral part of the team that works on providing certifications of performance related requirements relevant to our full software stack.

WHAT YOU WILL DO

  • Research and assess novel methods for model/data debugging/debiasing enhancing the model robustness for the perception task in Automated Driving 
  • Investigate, train and evaluate neural networks for different downstream tasks (e.g.  classification, object detection or beyond) 
  • Implement, apply, and evaluate model/data debugging/debiasing methods on trained perception models and on popular benchmarks 
  • Develop algorithmic ideas addressing open research challenges related to your topic 

WHO YOU ARE

  • Enrolled student in the area of computer science, electrical engineering, data science, robotics or similar field (please specify the expected date of your graduation or end of enrollment) 
  • Profound knowledge in machine learning, especially deep neural networks in safety and robustness aspects 
  • Proficiency in Python and deep learning frameworks, e.g., PyTorch 
  • Experience in perception tasks like object detection, or beyond 
  • Strong communication skills and analytical understanding 

NICE TO KNOW

  • Remote work options within Germany                         
  • Duration: 3 - 6 months 
  • 35 hours/week                     
  • Salary: 13,90 €/hour

At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.

Job ID:  24312
Company:  CARIAD SE
Location: 

Ingolstadt, DE, 85053

Department:  Apprenticeship & Study
Career Level:  Students
Working Model:  Full-time
Contract Type:  Fixed-term
Remote Working:  By agreement
Posting Date:  Apr 14, 2026

Why CARIAD?

We believe that how we work together is just as important as the technology we create. We strive to take action with a can-do attitude, and value speed over perfection. We aim to collaborate with mutual trust, taking accountability for our actions. We foster transparency and welcome diverse perspectives as we learn, adapt, and grow together

HR contact

Do you have any suggestions or questions? Get in touch ✉️