About The Position

During this internship, you will conduct research and engineering in AI and machine learning, with a particular focus on Foundation Models and Data-centric AI . This includes specialized areas like Foundation Model AI tooling, spatiotemporal machine learning, time series learning, and general representation learning. Applications span Bosch's AIoT (AI+IoT) business domains such as ADAS, connected vehicles, Industry 4.0, IoT, and car multimedia.

Requirements

  • Ph.D. students in Computer Science or a related discipline.
  • 3+ years of research experience, or an equivalent graduate research background, primarily in AI technologies including Foundation Models and Data-centric AI.
  • Publications in premier machine learning, deep learning, and computer vision journals and conferences.
  • Proficiency in one or more programming languages commonly used in machine learning (e.g., Python).
  • Minimum GPA of 3.0

Nice To Haves

  • Knowledge in machine learning and deep learning, notably in Foundation Model AI tooling, ADAS, spatiotemporal machine learning, deep graph learning, general representation learning, model distillation, and related areas.
  • Familiar with major machine learning platforms like PyTorch.
  • Experience in vision and multimodality foundation models (e.g., SAM, CLIP, LLaVA) and AI-based ADAS solutions is a plus.
  • Strong background in math and statistics is a plus.
  • Strong interpersonal, communication, and teamwork capabilities.

Responsibilities

  • Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms.
  • Document and disseminate research findings through high-caliber publications and/or patent submissions.
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