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

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Die Audioerstellung für lange Beschreibungen kann 30 bis 60 Sekunden dauern.
* Erstellt mit künstlicher Intelligenz
Ingolstadt
Home Office, Vollzeit, Praktikum / Werkstudent:in

Veröffentlicht am 16.04.2026

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

Illustration: Ein Haus mit einem Laptop im Inneren.
Home Office
Illustration: Drei Personen, die von zwei offenen Händen umgeben sind.
Diversity-Statement
Überblick
CARIAD sucht eine:n Praktikant:in für das Team "KI Leistungsmanagement". Du arbeitest an Methoden zur Fehlerbehebung und Entbiasierung von Modellen/Daten. Du brauchst Kenntnisse in maschinellem Lernen und neuronalen Netzen. Wichtig sind Python-Kenntnisse und Erfahrung mit Wahrnehmungsaufgaben. Die Stelle ist für 3-6 Monate und bietet 13,90 €/Stunde.
Erstellt mit künstlicher Intelligenz

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.

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