Artificial Intelligence / Machine Learning: Foundation Models - Intern

Description

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.

Requirements

• 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.
• Additional Information