About the job
We are seeking a Research Scientist Intern with expertise in human visual perception, AR display technologies, and computational modeling. This role sits at the intersection of vision science and engineering, with access to hardware, sensors, and resources to pursue fundamental and applied research at scale. You'll tackle questions about how humans perceive the visual world during naturalistic behavior via psychophysical, statistical, and computational methods in order to inform perceptually-aligned system architectures and algorithms.
Responsibilities
Build and analyze datasets of visual input during naturalistic behavior
Design and conduct psychophysical experiments
Develop computational and statistical models of visual perception
Leverage AI workflows across the entire research, development, and prototyping stack
Translate research findings into guidance for product architecture and design
Experience presenting research findings to technical and non-technical audiences
Collaborate cross-functionally with researchers and engineers
Qualifications
Minimum
Currently pursuing a PhD in Vision Science, Perceptual Psychology, Computational Neuroscience, Computer Science, Applied Mathematics, Engineering, or related field
Experience with psychophysical, computational, or statistical approaches to perception
Experience designing and conducting human behavioral experiments
Experience creating rapid prototype scientific software and work with hardware
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Intent to return to degree program after completion of the internship/co-op
Preferred
Demonstrated experience developing novel research approaches
Demonstrated knowledge in mathematical statistics and ML fundamentals
Experience creating large-scale behavioral and/or visual datasets
Experience with systems integration across sensors and wearable devices
Knowledge of graphics, image processing, and animation pipelines
Experience with eye tracking or motion capture
Publications at top venues (NeurIPS, CVPR, SIGGRAPH, VSS, Journal of Vision), grants, fellowships, or patents
Experience collaborating with cross-functional teams
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies