WerkstudentEnglisch & Deutsch
Internship - Failure Mode Discovery and Mitigation for Machine Learning Models (f/m/d)
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Internship - Failure Mode Discovery and Mitigation for Machine Learning Models (f/m/d)
vor 2 MonatenTechPraktikum
€13.90/hrHybrid
Englisch
Geschätztes Netto: €879/mo+Zum Steuerrechner →
Erforderliche Skills
Machine LearningNeural Network EvaluationPerception TasksModel DebuggingClassificationPyTorchPythonDebiasingObject DetectionDeep Neural Networks
Stellenbeschreibung
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
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
- 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
- Remote work options within Germany
- Duration: 3 - 6 months
- 35 hours/week
- Salary: 13,90 €/hour
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