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Research Scientist, Mixed Reality and Computational Photography

2 months ago


Redmond, Washington, United States Oculus Rift Full time
Job Title: Research Engineer, Mixed Reality and Computational Photography

We are seeking a skilled research software engineer to develop world-leading mixed reality technologies, focusing on 3D computational photography, neural scene capture, reconstruction, and rendering.

Responsibilities:
  • Implement highly scalable algorithms based on state-of-the-art machine learning methodologies
  • Develop proof-of-concept prototypes for future mixed reality experiences
  • Explore new algorithms for neural scene capture, reconstruction, rendering, as well as computational photography
  • Collaborate with cross-disciplinary research and engineering teams in machine learning, computer vision, and computer graphics
  • Participate in cutting-edge research that results in industry-leading tech demos and/or publications
Requirements:
  • MS or PhD degree in the field of deep learning, computer vision, computer graphics, image processing, or related technical fields
  • Demonstrated track record in ML algorithm development for 3D scene capture, reconstruction, and/or 3D computational photography
  • Mathematical knowledge in linear algebra, numerical optimization, and probabilistic estimation
  • 5+ years C++ experience with modern C++ features
  • 3+ years of experience in at least one deep-learning software library (e.g. PyTorch, Caffe2, TensorFlow, or Keras)
Preferred Qualifications:
  • Contributed to publications on machine learning for 3D computer vision or computer graphics at leading workshops or conferences
  • Experience with deploying real-time ML systems in C++
  • Broad understanding of the full machine vision pipeline from cameras to high-level algorithms

Oculus is an Equal Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics.