The Quantified Experience (QX) team is seeking a human vision scientist with extensive prior interdisciplinary scientific experience. The position involves leading end-to-end studies with human participants, including experimental design, data analysis, reporting and stakeholder management. Candidates must be able to creatively apply fundamental knowledge from human vision science.
The QX team informs leadership and other teams on perceptual best practices and works closely with other departments such Systems, Optical Engineering, Health Care, Human Factors and UX/UI teams. We are looking for candidates who are creative, energetic team players who excel in a fast-paced, hands-on environment.
Conduct research into human visual perception to inform product decisions.
Be aware of the latest developments in the field of human vision science.
Collaborate with other Magic Leap teams to explore perceptual factors, define engineering and design specifications, and make recommendations to improve visual perception in mixed reality.
Take a research question from hypothesis to delivery using scientific methods. Communicate the results to stakeholders clearly and in a timely manner.
Extensive experience with psychophysical and other psychological research methods
Profound knowledge of at least one of the following programming languages: Matlab, C/++, Python
Extensive experience with data analysis methods and statistical packages such as R
Experience with modeling human visual perception processes
Experience with Unity or OpenGL is a plus
Experience with Matlab Psychtoolbox is a plus
Knowledge of machine learning techniques is a plus
Excellent communication skills
Interest in latest developments in vision research and curiosity around the future of computing and experience platforms
PhD and/or post-doctoral experience in human vision science and/or related field with first author journal publications in one or more of the following or related research areas: stereopsis, color vision, visual acuity, low-level visual processing, or multimodal information processing.
All your information will be kept confidential according to Equal Employment Opportunities guidelines.