About The Position

The Bosch Research and Technology Center North America (RTC-NA) is a part of the global Bosch Group. The RTC-NA focuses on artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. Our AI research in Silicon Valley concentrates 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 AIoT solutions for various Bosch products and services in areas like automated driving, ADAS, robotics, smart manufacturing, enterprise AI, health care, and smart home/building solutions. The Foundation Model Powered AI Enablers group researches and develops AI & big data analytic solutions for domains including Industry 4.0, IoT, autonomous driving, and connected vehicles. The team collaborates with academic and industry groups and publishes 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.
  • Focus on specialized areas like Foundation Model AI tooling, spatiotemporal machine learning, time series learning, and general representation learning.
  • Apply AI/ML to Bosch's AIoT 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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