Job Description

Description & Requirements

PARC, a Xerox company, is in the Business of Breakthroughs®. Practicing open innovation, we provide custom R&D services, technology, expertise, best practices, and intellectual property to Fortune 500 and Global 1000 companies, startups, and government agencies and partners. We create new business options, accelerate time to market, augment internal capabilities, and reduce risk for our clients. Since its inception, PARC has pioneered many technology platforms – from the Ethernet and laser printing to the GUI and ubiquitous computing – and has enabled the creation of many industries. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients' businesses

PARC’s Collaborative Visual Computing Area seeks interns to develop cutting-edge computer vision algorithms for a variety of applications including augmented reality and 3D object detection and tracking. Of particular interest are techniques that incorporate semi-supervised learning and 3D data to train models to identify objects, actions, and behaviors with minimal human guidance. We are seeking interns with a strong analytical background and hands-on implementation skills, as well as a keen interest in developing and applying advanced concepts to exciting real-world problems. Interns will work under the mentorship of PARC researchers to turn novel concepts into demonstrable prototypes.

Requirements

• Enrollment in MS/PhD program in Electrical Engineering, Computer Science, or related fields, with specialization in computer vision
• Experience or strong desire to work with 3D data (e.g., point clouds, meshing, mapping)
• Expertise in deep learning and associated frameworks, e.g. TensorFlow, PyTorch, MXNet
• Hands-on algorithm and software development in one or more of Python, C/C++, MATLAB
• Strong communication skills
  
  

Desired Experience

• 3D engine software such as Unity and/or Unreal Technology
• AR toolkits such as AR-kit and/or AR-core
• Experience with object detection/tracking, representation learning, search/retrieval
• Publication in top tier conference or journal
  
  

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