Manage daily lab operations, including equipment setup, maintenance, and troubleshooting.
Prepare labs for experimental sessions, ensuring protocols, hardware, and software are ready.
Coordinate study logistics: scheduling participants, managing consent forms, and maintaining study documentation.
Moderate in-lab vision science studies, following established research protocols.
Ensure participant safety, comfort, and data integrity during studies.
Maintain organized records of study sessions, datasets, and lab inventories.
Provide hands-on support to vision scientists during experiment design, setup, and execution.
Assist in piloting experiments, debugging experimental flows, and identifying usability or technical issues.
Collaborate closely with researchers, engineers, and designers to translate research needs into practical implementations.
Support data collection workflows and coordinate handoff of data to researchers for analysis.
Contribute to continuous improvement of lab processes, tools, and documentation.
Build rapid prototypes to support vision science experiments and demos, using tools such as Lens Studio, Unity, or similar real-time/AR platforms.
Implement experimental stimuli, UI flows, and interactive behaviors required for research studies.
Modify and iterate on prototypes quickly based on researcher feedback and pilot study results.
Maintain and document prototype codebases for reuse and iteration.
Act as a liaison between research, engineering, and creative teams.
Communicate technical constraints and possibilities clearly to non-technical stakeholders.
Support internal demos, reviews, and knowledge sharing related to lab capabilities and prototypes.

Requirements

Earned Bachelor’s Degree (MA/PHD preferred) in a related field such as vision science, perception psychology, cognitive psychology, psychophysics, computer science, human-computer interaction.
Experience running experimental studies.
Experience with experiment development packages, such as Psychtoolbox or PsychoPy.
Experience with image processing software, such as Matlab or Python.
Experience with data analysis and statistical software, such as JMP, R, Matlab, or Python.
Experience in object-oriented programming languages, such as Unity or Lens Studio.
Must be able to work from an office in Boulder or Santa Monica.

Benefits

paid parental leave
comprehensive medical coverage
emotional and mental health support programs
compensation packages that let you share in Snap’s long-term success

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

experiment developmentdata analysisimage processingobject-oriented programmingprototypingexperimental designstatistical analysisdebuggingUI flow implementationinteractive behavior design

Soft Skills

collaborationcommunicationorganizationproblem-solvingattention to detailparticipant managementtechnical supportadaptabilityliaison skillscontinuous improvement