Job
In this internship, you will explore automated data curation methods for autonomous driving systems by developing data-centric AI techniques that identify model weaknesses and translate real-world driving failures into improved training datasets.
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Your role in the team
- We are looking for a highly motivated PhD student to join our AI Systems team in Munich and conduct research on automated data curation for end-to-end autonomous driving systems.
- The goal of this internship is to develop data-centric AI techniques that automatically identify model weaknesses and translate observed real-world driving failures into improved training datasets.
- The work will move beyond general data selection towards fine-grained, model-aware data curation using trajectory and action information, multimodal representations, and potentially Vision-Language Models (VLMs).
Our expectations of you
Qualifications
- Currently enrolled in a PhD program in Computer Science, Robotics, Artificial Intelligence, Machine Learning, Computer Vision, or a related technical field.
- Strong knowledge of machine learning and deep learning.
- Ability to develop and evaluate research ideas independently.
- Strong written and verbal communication skills in English.
- Familiarity with closed-loop simulation or autonomous-driving evaluation.
Experience
- Experience with PyTorch and Python.
- Experience in at least one of: computer vision, autonomous driving, multimodal/vision-language models, robotics.
- Research experience in end-to-end autonomous driving, behavior prediction, trajectory prediction, or robotics.
- Experience with VLMs/VLM evaluation, foundation models, or multimodal representation learning.
- Experience working with large-scale datasets and data-selection or active-learning techniques.
- Publications or demonstrated research experience at major machine learning, computer vision, or robotics venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, CoRL, or ICRA.
What we offer
- This internship offers the opportunity to conduct applied research at the intersection of autonomous driving, multimodal foundation models, and data-centric AI.
- The research has the potential to contribute directly to scalable data-flywheel systems in production for autonomous driving, connecting vehicle evaluation, failure discovery, intelligent data selection, and model retraining.
Topics you will work on
Job locations
About your employer
Qualcomm is a world-leading manufacturer of products and solutions for the mobile communications industry. The company, founded in 1985 and headquartered in San Diego, California, combines its technological expertise with economic success.
- English
- Established Company
- Onsite, Hybrid
- Industry, Production
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