Neuro-symbolic AI Intern

Pittsburgh, PA, United States

Internship Entry-level / Junior

Bosch Group

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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.

Job Description

At Bosch Research in Pittsburgh, we are looking for research interns to join our team in developing novel technologies at the intersection of knowledge representation and machine learning. More specifically, the intern will help to develop neuro-symbolic AI algorithms and methods for use in autonomous driving applications. This may include research related to graph neural networks, knowledge graph embeddings, link prediction, explainability, etc. The internship role will focus on the following responsibilities:

  • Design and development of novel neuro-symbolic AI algorithms, implementation and evaluation using autonomous driving data from Bosch
  • Technical discussions and creation of new ideas within the existing research team, to improve upon the existing solutions
  • Clean, efficient, and well-documented implementation of new neuro-symbolic AI methods
  • Publish at leading AI conferences, and ultimately shape the future of Bosch products and services

Qualifications

  • Pursuing or starting a PhD degree in Computer Science / Engineering, Data Science, Electrical Engineering, or Mathematics
  • 2+ years of programming experience, in particular Python
  • 2+ years of experience with neuro-symbolic AI algorithms and toolkits (PyG, PyKEEN, PyTorch, etc.) 
  • Broad knowledge of neuro-symbolic AI theory and principles
  • Established publication record in Machine Learning or Knowledge Graphs or related fields
  • Excellent communication skills

Additional Information

The U.S. base salary range for this intern position is $29.00-$56.50 hourly. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.

  • Duration: 3-6 months

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

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)

Tags: Autonomous Driving Circuit Design Computer Science Engineering Human Machine Interaction Machine Learning Mathematics PhD Python PyTorch Research Robotics STEM

Perks/benefits: Conferences

Region: North America
Country: United States
Job stats:  31  4  0
Category: Deep Learning Jobs
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