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Computer Vision Researcher, Deep Learning
Posted on 8/26/2022
Seattle, WA, USA • Toronto, ON, Canada • Austin, TX...
Experience Level
Desired Skills
Computer Vision
Data Structures & Algorithms
  • 2+ years of working experience in Computer Vision targeted to product development
  • Expert knowledge in Computer Vision and Deep Learning in the following domains:
  • Object Detection and Semantic Segmentation: Design and implement advanced algorithms for detecting objects and labeling semantics in 2D images and 3D data
  • 3D Geometry: Strong knowledge of 3D geometry concepts, such as multiview geometry, point cloud processing and working with depth data
  • 3D Scene Understanding: Design and implement 3D scene segmentation algorithms based on depth, motion or texture data
  • MS in Computer Science, Electrical Engineering or a related field (with a minimum of 3 years of relevant experience)
  • Ph.D. is preferred (with a minimum of 1 year of relevant experience)
  • Conduct independent research and development work on advanced computer vision components, such as semantic segmentation, scene understanding, object detection and 3D reconstruction
  • Provide leadership and mentorship to more junior software engineers, technicians and interns
  • Work hand-in-hand with all the key stakeholders and developers across the company contributing to computer vision components
  • Write maintainable, reusable code, leveraging test-driven principles to develop high-quality geometric vision modules
  • Troubleshoot and resolve software defects and other technical issues
  • Review individual developers' code in the team to ensure the highest code quality
Magic Leap

1,001-5,000 employees

Augmented reality platform
Company Overview
Magic Leap is a proprietary wearable technology that enables users to interact with digital devices in a completely visually cinematic way.