Artificial Intelligence / Machine Learning: Foundation Models - Intern

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.
A few of your additional responsibilities will include:
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.
Required Qualifications:
Currently pursing a Master's degree with peer-reviewed publication(s) in machine learning, deep learning, or computer vision, OR a Ph.D. in Computer Science or a related discipline.
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
Desired Qualifications:
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.

Employment type
Intern

Work arrangement
No