Human Vision Engineer, Optical Metrology & Vision Science
Amazon.com
We're looking for a Applied Vision Scientist with a background in display optics to join our Optical Metrology & Vision Science team. You'll apply deep expertise in human visual perception to guide the design, evaluation, and optimization of next-generation display systems and visual experiences across Amazon's device portfolio.
You'll work at the intersection of vision science, computational modeling, display engineering, and user experience, translating psychophysical principles into measurable engineering specifications that ship in products used by millions.
Key job responsibilities
Develop and apply computational models of human vision (contrast sensitivity, color appearance, temporal perception, spatial acuity) to inform display hardware and software decisions
Collaborate with display hardware engineers to optimize technology selection, product architecture, and negotiate system-level trade-offs
Design and execute rigorous psychophysical experiments to quantify image and display quality across viewing conditions; collaborating with optical metrology engineers to define and validate the perceptual correlation of objective metrics
Build and maintain lab infrastructure for controlled visual experiments (calibrated displays, spectroradiometers, eye-tracking systems, controlled ambient environments)
Analyze experimental data using advanced statistical methods (signal detection theory, Bayesian inference, mixed-effects models, ANOVA)
Develop and validate perceptual simulation pipelines that predict visual appearance under varying display configurations, ambient conditions, and optical system parameters, enabling rapid virtual prototyping and reducing dependence on physical hardware iterations
You'll work at the intersection of vision science, computational modeling, display engineering, and user experience, translating psychophysical principles into measurable engineering specifications that ship in products used by millions.
Key job responsibilities
Develop and apply computational models of human vision (contrast sensitivity, color appearance, temporal perception, spatial acuity) to inform display hardware and software decisions
Collaborate with display hardware engineers to optimize technology selection, product architecture, and negotiate system-level trade-offs
Design and execute rigorous psychophysical experiments to quantify image and display quality across viewing conditions; collaborating with optical metrology engineers to define and validate the perceptual correlation of objective metrics
Build and maintain lab infrastructure for controlled visual experiments (calibrated displays, spectroradiometers, eye-tracking systems, controlled ambient environments)
Analyze experimental data using advanced statistical methods (signal detection theory, Bayesian inference, mixed-effects models, ANOVA)
Develop and validate perceptual simulation pipelines that predict visual appearance under varying display configurations, ambient conditions, and optical system parameters, enabling rapid virtual prototyping and reducing dependence on physical hardware iterations
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