Careers - Research Scientist, Machine Perception and Learning (PhD University Grad) | Oculus

Research Scientist, Machine Perception and Learning (PhD University Grad)

Research | Redmond, Washington

Oculus is a world leader in the design of virtual reality systems. We are currently seeking innovative researchers with a passion for technology to achieve great strides in general scene understanding at our research location in Redmond, WA. Within the Oculus Research Surreal Vision team, the aim of this role focuses on formulating a new generation of end-to-end real-time 3D scene understanding systems working across novel mobile sensor design, state estimation, computer vision and large scale online inference and optimization. The focus of this role lies on the intersection of Machine Learning and Machine Perception, exploring the limits of “Always On” machine learning techniques with state-of-the-art geometry estimation and device state estimation techniques. This role enables close collaboration with the Facebook AI research and applied machine learning groups together with cutting edge device technology development in sensing and computational platforms at Oculus Research . The role requires a PhD in computer vision , machine learning or a related field with a strong background in optimization, modeling, analysis, and system building.


  • Looking at the limit of always on ML within the context of consumer AR devices powered by AI
  • Research across Machine Perception at the intersections of Deep Learning, reconstruction and state estimation
  • Large scale distribution of consumer devices operating within a cloud to client computing infrastructure
  • Analysis of computing data hierarchy from cloud to mobile device client
  • Understanding size, weight, cost, power, and bandwidth constraints of future consumer devices
  • Formulation of new ML and data analysis approaches that harness always on device technology

Minimum Qualification

  • Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of computer vision, machine learning or related field
  • Must be available to start employment on or after June 2017
  • 2+ years experience with statistical analysis of data and mathematical modeling
  • 2+ years experience with developing machine learning, Bayesian filtering, information theory, 3D geometry, and physics based simulation
  • 3+ years experience in C++, Java or other related language such as Torch and TensorFlow
  • Interpersonal skills: cross-group and cross-culture collaboration
  • Ability to obtain work authorization in the United States in 2017

Preferred Qualifications

  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NIPS, etc

Ready to Join?

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