Artificial Intelligence / Machine Learning: Foundation Models - Intern
About The Position
The Bosch Research and Technology Center North America (RTC-NA) is a part of the global Bosch Group, dedicated to providing technologies and system solutions in fields like artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors, and wireless. Our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, and Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for various Bosch business domains. The Foundation Model Powered AI Enablers group researches and develops scalable and transparent AI & big data analytic solutions for domains including Industry 4.0, IoT, autonomous driving, and connected vehicles. Our team collaborates with leading academic and industry groups to advance research and disseminate findings in top AI conferences and journals.
Requirements
- Currently pursuing 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
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.
- Familiarity 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
- Conduct research and engineering in AI and machine learning, with a particular focus on Foundation Models and Data-centric AI, including specialized areas like Foundation Model AI tooling, spatiotemporal machine learning, time series learning, and general representation learning.
- Apply research to Bosch's AIoT (AI+IoT) business domains such as ADAS, connected vehicles, Industry 4.0, IoT, and car multimedia.
- 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.
Benefits
- The U.S. base salary range for this intern position is $42.00-69.00 hourly.
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
