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ML Data Operations Engineer

Apple· Hardware
Apply on company site
Hybrid (San Diego, CA), Hybrid (Cupertino, CA), Hybrid (Santa Clara, CA)$175k - $308.5kFull-timePosted 4w ago

About the role

Apple is seeking a Data Operations Engineer to support internal data collection efforts powering next-generation consumer machine learning features. The role involves hands-on bring-up, execution, and quality oversight of internal data collection studies, collaborating with researchers, engineers, and scientists, and ensuring data quality and study efficiency in a cross-functional environment.

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

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.

Skills

Required:Data collection coordinationML data pipelinesCollaboration with ML engineers/researchersPrivacy and data handling

Benefits

  • Discretionary bonuses or commission payments (may be eligible)
  • Relocation assistance (may be eligible)
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational assistance reimbursement including tuition
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

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