Apple
ML Data Operations Engineer
$175K–$325K
Cupertino, California +2 · Full-time · Posted Jul 21, 2026
- Location
- Cupertino, California
San Diego, California
Santa Clara, California - Experience
- 10 years of experience in user research operations, data collection coordination, or a related technical operations role (preferred).
- Education
- Bachelor’s degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or equivalent combination of education and relevant experience.
About the job
Supports internal machine-learning data collection studies by setting up platforms, coordinating execution, ensuring data quality, and improving operational workflows.
What you'll do
- Plan and execute data collection studies with researchers, engineers, and scientists; track progress and dataset status.
- Bring up, maintain, troubleshoot, and document pre-release hardware and software platforms used for collection.
- Coordinate study sessions and logistics, validate collection requirements, and identify process improvements.
What they ask for
- Bachelor’s degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or equivalent combination of education and relevant experience.
- Experience supporting or executing human user studies, behavioral research, or data collection operations.
- Track record of partnering with ML engineers or researchers to define data requirements, quality standards, or collection specifications.
Nice to have
- Hands-on familiarity with ML data pipelines, annotation tools, or dataset management practices.
- Familiarity with handling sensitive human data and adhering to strict privacy and consent protocols.
Pay
$175,000 and $308,500 USD base salary; $184,700 and $324,800 USD base salary
AI focus
Supports data collection for consumer machine-learning features, including understanding experiment objectives, data requirements, labeling, and evaluation criteria.
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