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The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group ( www.bosch.com ), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.
The Bosch Center for Artificial Intelligence (BCAI) was founded in early 2017 to deploy cutting-edge AI technologies across Bosch products and services creating solutions that are “Invented for life.” This position will be in the BCAI team in Sunnyvale, CA. In this intern role, you will explore, exploit, and invent the state-of-the-art computer vision and deep learning technologies. By leveraging big and unique dataset among Bosch business units, you will solve challenging industrial computer vision problems that will be adopted in the practical applications within Bosch. To name a few applications – autonomous vehicles/robotics, automated optical inspection, and video survelliance systems.
At BCAI we develop large scale forecasting solutions for financial key performance indicators. A part of this solution involves hierarchical consolidation of hundreds of thousands of time series. This internship position will focus on improving the performance of the large-scale matrix operations and the quality of their outcome. The trade-offs between the quality of the solution and the performance needs a strong theoretical underpinning.
Working towards Ph.D. in Statistics.
Experience working with technologies
Mandatory: R, git
Optional: Python, Spark, Docker, SQL
Experience in solving problem using large scale linear algebra methods