Machine Learning Research Intern

  • 2555 Smallman St, Pittsburgh, PA 15222, USA
  • Intern
  • Legal Entity: Robert Bosch LLC

Company Description

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. In all areas we work in close collaboration with our partners at leading US universities, leading-edge industry partners, and other worldwide Bosch research, development, and marketing units.

Job Description

  • Development of novel Deep Learning algorithms, implementation and evaluation using multi-modal Bosch data from application areas such as autonomous driving, robotics, and Internet of Things
  • Technical discussions and creation of new ideas within the existing Deep Learning research team
  • Original research, theoretical investigations, publications at top Machine Learning conferences and journals
  • Code contributions to our deep learning framework
  • Clean, efficient, and well-documented implementation of new deep learning methods
  • Runtime analysis and improvements of existing deep implementations

Qualifications

Required Qualification:

  • Pursuing a PhD in Computer Science, Data Science, or Mathematics
  • 2+ years programming experience, in particular Python
  • 2+ years experience in Machine Learning, or Deep Learning
  • Broad knowledge of Machine Learning algorithms and principles

Desired Qualification:

  • Experience with Deep Learning frameworks
  • Proficiency in Machine Learning algorithms and principles
  • Established publication record in Machine Learning or related field
  • Experience defining personal research roadmap

Additional Information

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

  • FIRST Robotics (For Inspiration and Recognition of Science and Technology)
  • AWIM (A World in Motion)

 

 

 

 

 

 

 

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