User Study and Data Operations Engineer

At Apple we build products that help people live better healthier and more productive lives. Our team designs and runs human-centered data collections to test train and validate emerging hardware and software technologies.

We are looking for a User Study u0026 Data Operations Engineer to lead end-to-end data collection this role you will work directly with algorithm scientists machine learning researchers and engineering leads to turn raw research questions into clear study designs practical test protocols and reliable lab operations. You will oversee testing across internal prototype labs and external data collection this role you will run human-subject studies from initial scoping through protocol design and multi-site execution.

Work with Algorithm Machine Learning Hardware and Software teams to translate study research and data goals into data capture plans that balance data quality sample size and timeline detailed study protocols task instructions moderator scripts consent forms and subjective up and operate internal prototype test benches including prototype hardware cameras specialized lighting tracking sensors and data logging hardware; troubleshoot technical and benchtop issues as they participant sessions keeping studies on schedule while strictly enforcing safety privacy and confidentiality Statements of Work (SOWs) and Standard Operating Procedures (SOPs) for external data collection vendors; inspect incoming datasets and resolve field issues workflows build checklists and improve data-handling routines so studies run reliably and : This role requires regular on-site lab presence for equipment bring-up and study execution along with 515% domestic and/or international travel to study sites and vendor facilities.

Bachelors degree in Engineering Human Factors Cognitive Science Computer Science Human-Computer Interaction (HCI) Life/Physical Sciences or equivalent job-related experience.n3 years of experience running user study operations human factors tests data operations hardware/software QA or technical lab writing piloting and running human-subject test protocols task sequences moderator guidelines or standard operating procedures (SOPs).nExperience working directly with technical teams (such as algorithms machine learning or systems engineering) to turn technical requirements into operational study managing external data collection vendors including drafting Statements of Work (SOWs) auditing data deliverables and holding partners to quality criteria.

Hands-on experience setting up prototype hardware optical/sensor rigs studio lighting or camera tracking using Python Bash or shell scripts to verify check and process collected in human factors methods psychophysical scaling survey design and qualitative using modern AI-assisted development tools and agentic coding workflows to quickly build scripts internal dashboards and operational tools that automate repetitive record of creating clear operational processes and reference documentation where none previously communicator who can align priorities across research scientists engineers legal privacy and operations guiding study moderators and communicating clearly and respectfully with study participants during sensitive prototype tests.