This role pays more than
50%
of similar roles. Most pay
$144,900–$231,150
— the shaded band above.
At the midpoint, this role pays about
$188k
versus about
$188k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3513 open roles
on FindRole.
Listed pay typically runs
$165,800–$277,600
across 2730 roles with salary data.
The ML Data Operations Engineer joins the ML Data Operations group to support internal data collection efforts powering next-generation consumer machine learning features. Working alongside scientists and engineers, you will develop a technical understanding of machine learning experiments, including model objectives, data requirements, labeling, and evaluation criteria. Your daily responsibilities include planning and executing internal study sessions, performing hands-on troubleshooting for pre-release hardware and software platforms, and creating technical documentation for setup protocols and data handling. You will manage logistics such as participant scheduling and configuration while tracking progress and identifying workflow improvements. The role requires expertise in human user studies, behavioral research, and data collection operations. Key skills include familiarity with ML data pipelines, annotation tools, dataset management, and the ability to navigate complex technical documentation and data schemas within a collaborative cross-functional environment.