ML Data Operations Engineer

Apple • Philadelphia, PA

5h

About The Position

Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts that power next-generation consumer machine learning features. The role works closely with Apple scientists and engineers, developing a technical understanding of the ML experiments being supported in addition to coordinating logistics. The engineer is responsible for hands-on study bring-up and execution, as well as quality oversight of internal data collection studies, in a collaborative and technically demanding cross-functional environment.

Requirements

• Bachelor’s degree in HCI, Cognitive Science, Psychology, Engineering, or Operations, or an equivalent combination of education and relevant experience.
• Experience supporting or executing human user studies, behavioral research, or data collection operations in an academic or industry setting.
• Track record of partnering with ML engineers or researchers to define data requirements, quality standards, or collection specifications.

Nice To Haves

• 10 years of experience in user research operations, data collection coordination, or a related technical operations role.
• Hands-on familiarity with ML data pipelines, annotation tools, or dataset management practices.
• Experience working directly with engineering and science teams, with comfort reading technical documentation, data schemas, or experiment specifications.
• Familiarity with handling sensitive human data and adhering to strict privacy and consent protocols.
• Highly organized self-starter able to manage multiple concurrent internal studies with minimal oversight.
• Strong interpersonal and written communication skills, with the ability to collaborate across technical and non-technical stakeholders.
• Strong attention to detail and ability to identify data anomalies and inconsistencies during live collection.

Responsibilities

• Support internal data collection efforts for consumer machine learning features.
• Work closely with Apple scientists and engineers and develop a technical understanding of supported ML experiments.
• Bring up and execute internal data collection studies.
• Oversee the quality of internal data collection studies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior