Posted 2 days ago

Perception is at the center of our research, as it informs our work in displays, optics, rendering, and practically everything in the AR/VR system. Facebook is looking for an experienced leader who will be responsible for recruiting, career growth, maintaining organizational health and supporting the Applied Perceptual Sciences. This position is a dual role and requires personal research and collaboration with team members, in addition to guiding projects and priorities.APS team’s core topics are:Product-driven exploration of the visual system through a combination of psychophysical experiments, anthropometrics and modeling.Perceptual metrics, with special focus on dynamic, spatio-temporal, and foveated metrics.Development of perceptually motivated algorithms for optimal display.Advancing and developing novel metrics to quantify user experience in terms of visual performance and comfort.Quantifying human variability in anthropometrics, physiology, and vision, in order to guide product development toward maximally inclusive solutions. Applied Perceptual Sciences (APS) influences AR/VR product development and system architecture by tackling some of the most difficult questions in visual perception, visual computing, displays, and optics research. This involves surveying the field, setting priorities and then leading and conducting research at the intersection of basic and applied science, as it informs our research directions and identifies opportunities for revolutions in our metrics and experiences. You will be expected to improve the team's impact and capability with your ability to identify root questions that are shared across emerging product lines, your ability to champion team findings and your ability to scale the team with your substantial contacts in academia and industry.In APS, we are committed to a whole-system, multidisciplinary approach to perception research and have the opportunity to both collaborate with academic institutions as well as publish and disseminate our work. Projects take advantage of internal resources in mechanical, electrical, optical, and software engineering, allowing us to confront scientific and product engineering challenges which cannot necessarily be answered with existing products or prototypes.

  • Build, lead, mentor, inspire, and collaborate with a world-class perception team specializing in visual ergonomics, graphics and display.
  • Guide and resource product-driven exploration of the visual system.
  • Collaborate within APS and across Facebook leadership, engineering and research to build a long-term perceptual research strategy that spans multiple products and teams in AR & VR.
  • Conduct your own significant studies, analysis and research.
  • Work with your team and APS to rapidly sort through conflicting, ambiguous and time sensitive projects across multiple stakeholders to properly set scope and establish a coherent list of priorities that deliver the best results with limited resources.
  • Expand your team's impact by holding discussions with product managers, technical leadership, engineering and research to look for additional applications for your team's research and findings.
  • Continue developing a highly collaborative work environment inside of APS.

MINIMUM QUALIFICATIONS

  • Advanced degree in computer science (image processing, graphics, vision), psychology (vision science, perceptual psychology, human factors) or related fields.
  • 2+ years experience in leading, developing and managing technical teams, including performance management.
  • 5+ years experience as a lead investigator with results demonstrated through publications, patents or shipped products.
  • Knowledge in one or more low-level vision science fields (dynamic vision, spatiotemporal perception, luminance and contrast, stereo). motion perception, binocular vision, computational modeling of the visual system, visual quality metrics, visual ergonomics, text legibility or spatial vision.
  • Experience with visual quality metrics (e.g. reference and no-reference, display/user aware vs unaware metrics, differentiable metrics).
  • Experience predicting, quantifying and resolving perceptual artifacts arising from novel displays based on technical specifications or architectures.
  • Familiarity with modern display technologies, subsystem interactions and perceptual tradeoffs, common display artifacts and mitigation strategies.
  • Experience in gathering and communicating findings through modeling, psychophysical experimentation & data analysis.
  • Experience working with cross-functional teams to ship consumer hardware devices.
  • Background in experimental design, psychophysical techniques, and user studies.

PREFERRED QUALIFICATIONS

  • Advanced degree in computer science (image processing, graphics, vision), psychology (vision science, perceptual psychology, human factors) or related fields.
  • 2+ years experience in leading, developing and managing technical teams, including performance management.
  • 5+ years experience as a lead investigator with results demonstrated through publications, patents or shipped products.
  • Knowledge in one or more low-level vision science fields (dynamic vision, spatiotemporal perception, luminance and contrast, stereo). motion perception, binocular vision, computational modeling of the visual system, visual quality metrics, visual ergonomics, text legibility or spatial vision.
  • Experience with visual quality metrics (e.g. reference and no-reference, display/user aware vs unaware metrics, differentiable metrics).
  • Experience predicting, quantifying and resolving perceptual artifacts arising from novel displays based on technical specifications or architectures.
  • Familiarity with modern display technologies, subsystem interactions and perceptual tradeoffs, common display artifacts and mitigation strategies.
  • Experience in gathering and communicating findings through modeling, psychophysical experimentation & data analysis.
  • Experience working with cross-functional teams to ship consumer hardware devices.
  • Background in experimental design, psychophysical techniques, and user studies.

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Research Scientist Manager - Applied Perception Sciences