ML Data Operations Engineer

Quick Facts

• Role: ML Data Operations Engineer

Description

Apple’s ML Data Operations team is seeking a Data Operations Engineer to support internal data collection efforts powering next-generation consumer machine learning features. In this role, you will plan, bring up, execute, and provide quality oversight for internal data collection studies in a highly collaborative environment with scientists and engineers.

Responsibilities

• Plan, execute, and track internal ML data collection studies with researchers, engineers, and scientists

• Understand ML experiment goals and requirements (model objectives, data needs, labeling, evaluation criteria) to ensure dataset quality

• Bring up and maintain pre-release hardware and software platforms; troubleshoot and triage issues

• Create and maintain technical documentation for platform setup, study protocols, and data handling

• Manage day-to-day logistics for study sessions (scheduling, configuring setups, maintaining session flow)

• Collaborate with algorithm, infrastructure, and hardware/software teams to gather and validate data collection requirements

• Track and communicate progress, blockers, participant throughput, and dataset status to stakeholders

• Identify workflow gaps and lead process improvements

Requirements

• 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 partnering with ML engineers or researchers to define data requirements, quality standards, or collection specifications

Benefits

• Work on challenging, unsolved problems and help deliver next-generation consumer ML features