Apple
ML Data Operations Engineer
$142K–$225K
Cupertino, California +2 · Full-time · Posted Aug 18, 2026
- Location
- Cupertino, California
San Diego, California
Santa Clara, California - Experience
- No minimum years stated; preferred: 3+ years in user research operations, data collection coordination, or a related technical operations role.
- 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 through technical setup, execution, quality oversight, and cross-functional coordination.
What you'll do
- Plan, execute, and track data collection studies; coordinate study sessions and communicate progress and blockers.
- Bring up, maintain, troubleshoot, and document pre-release hardware and software platforms used for collection.
- Work with researchers and engineering teams to define data requirements, maintain dataset quality, and improve workflows.
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
- 3+ years in user research operations, data collection coordination, or a related technical operations role.
- Familiarity with ML data pipelines, annotation tools, or dataset management practices.
Pay
$142,300 and $214,300 (base salary); $150,400 and $225,300 (base salary)
AI focus
Supports data collection for consumer machine-learning features, including understanding experiments, model objectives, data requirements, labeling, and evaluation criteria.
Model-written summary · the original posting is authoritative