We are seeking a Research Scientist Intern with expertise at the intersection of human visual perception and AR display technology. This role is focused on advancing our understanding of color and contrast perception to improve the user experience for augmented reality products, with a specific goal of establishing guidance for accessibility and UI quality. The core technical work involves defining and implementing perceptual models to experimentally determine the chromatic contrast. This fundamental research will guide display control, color/gamut mapping, and establish UI color scheme requirements for seamless blending of virtual and real-world objects.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Responsibilities
- Design and implement experiments or models focusing on chromatic contrast and salience in AR.
- Translate core research findings into practical guidance for product architecture, design guidance and accessibility features.
- Collaborate with researchers and engineers across various disciplines (human factors, optics, graphics, product design).
- Communicate research agenda, progress, and results throughout the duration of the project.
Minimum Qualifications
- Currently has, or is in the process of obtaining, a PhD degree in Vision Science, Perceptual Psychology, Color Science, Computer Science, Electrical Engineering, Physics or relevant technical field
- Experience in Color Science, Psychophysics, and/or Perceptual Modeling
- Experience defining research problems, exploring solutions, analyzing and presenting results
- 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 the completion of the internship/co-op Experience with visual perception, designing and performing psychophysical experiments
- Demonstrated understanding of color image processing pipelines and display calibration
- Knowledge of optics, signal processing, and mathematical modeling for visual perception
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
- Experience working and communicating cross-functionally in a team environment
- 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