ML Data Operations Engineer — Data Collection & Studies

Apple Inc.; Cupertino (CA); On-site; USD 184,700 - 324,800; Full time

Benefits offered by this job

Stock options

Medical and dental coverage

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features.

You will work closely with Apple scientists and engineers to bring up, execute, and oversee data collection studies, while developing a deep technical understanding of the experiments you support. You will manage hands‑on setup of hardware and software for data collection, maintain clear documentation, and collaborate with ML, infra, and

Qualifications

• 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 in an academic or industry setting.
• Track record of partnering with ML engineers or researchers to define data requirements, quality standards, or collection specifications.

Responsibilities

• Plan, execute, and track internal ML data collection studies in close collaboration with researchers, engineers, and scientists across the organization.
• Develop a working understanding of the ML experiments being supported, including model objectives, data requirements, labeling, and evaluation criteria, to ensure datasets quality.
• Bring up and maintain pre‑release hardware and software platforms used for data collection, performing hands‑on troubleshooting and triage to minimize study disruptions.
• Create and maintain clear technical documentation for hardware/software platform setup, study protocols, and data handling procedures.
• Manage day‑to‑day logistics of internal study sessions, including scheduling participants, configuring hardware and software setups, and maintaining smooth session flow.
• Collaborate with algorithm, infrastructure, and hardware/software teams to gather and validate data collection requirements before and during study execution.
• Track and communicate study progress, blockers, participant throughput, and dataset status to cross‑functional partners and senior stakeholders.
• Identify gaps in existing workflows and take initiative to define, document, and socialize process improvements.

Skills

User studies

Data collection ops

Collaboration with ML teams

Education

Bachelor’s degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or equivalent

Job description

Apple Inc. is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features.

You will work closely with Apple scientists and engineers to bring up, execute, and oversee data collection studies, while developing a deep technical understanding of the experiments you support. You will manage hands‑on setup of hardware and software for data collection, maintain clear documentation, and collaborate with ML, infra, and