Research Scientist, Eye Tracking (PhD University Grad) Facebook
Redmond, WA

Job Description

As a Research Scientist for the Eye Tracking team, you will advance the state of human tracking technologies by designing and implementing eye tracking software in a broad range of eye tracking research applications. Working closely with expert Scientists, Mechanical Engineers, Electrical Engineers and Software Engineers you will help create cutting-edge research prototypes that explore the future of virtual reality (VR) and augmented reality (AR). You will be responsible for designing, developing and testing new software algorithms for eye tracking and gaze estimation applications using a variety of sensor modalities. In addition, you will take part in simulating, analyzing, testing, and reporting on potential software and hardware solutions. Join the adventure of a lifetime as we make science fiction real and change the world.

RESPONSIBILITIES

* Create computer vision algorithms for eye tracking and gaze estimation



Utilize multiple sensor modalities for eye tracking and gaze estimation including computer vision, image processing, and signal processing

Simulate potential eye tracking and gaze estimation technology, analyze and report on results

Drive novel eye-tracking algorithm development through analysis of experimental results

MINIMUM QUALIFICATIONS

* Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of Computer Vision, Computer Science, Mechanical Engineering, Electrical Engineering, Robotics, Physics, or a related technical field



5+ years experience developing computer vision

5+ years of C++ coding experience

Experience with simulation and determination of criteria

Interpersonal experience: cross-group and cross-culture collaboration

Must be available to start employment on or after February 1, 2019

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

PREFERRED QUALIFICATIONS

* Experience developing signal processing algorithms that utilize a broad range of sensor modalities



Experience in 3D reconstruction using structured light, stereo, photogrammetry, or similar methods

Experience in 3D data processing and 3D data filtering

Experience in machine learning

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, ICCV, SIGGRAPH, and ETRA

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