Artificial Intelligence / Machine Learning - Intern

Bosch Group • Sunnyvale, CA

2d

About The Position

The Bosch Research and Technology Center North America (RTC-NA) is part of the global Bosch Group. The RTC-NA is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. 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, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. The Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals. 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

• Bachelor’s students in Computer Science or a related field
• 1+ years of hands-on experience, or an equivalent engineering background
• 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.
• 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.

Benefits

• Equal Opportunity Employer, including disability / veterans
• Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
• BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) FIRST Robotics (For Inspiration and Recognition of Science and Technology) AWIM (A World In Motion)

What This Job Offers

• Career Level: Intern