ML Data Ops Engineer for Research-Driven Data

Apple Inc.; Santa Clara, Northern (CA, KY); Hybrid; USD 150,000 - 225,000; Full time

Job summary

Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In this role, you will work shoulder-to-shoulder with full-time Apple scientists and engineers, not just coordinating logistics, but developing a genuine technical understanding of the ML experiments you support.

You will be responsible for the hands‑on bring‑up, execution, and quality oversight of internal data

Qualifications

• Bachelor’s degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or equivalent.
• Experience supporting human user studies or data collection operations.
• Track record of partnering with ML engineers or researchers to define data requirements.

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.

Skills

Interpersonal communication

Written communication

Organization

Attention to detail

Education

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

Tools

ML annotation tools

Dataset management tools

Job description

Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In this role, you will work shoulder-to-shoulder with full-time Apple scientists and engineers, not just coordinating logistics, but developing a genuine technical understanding of the ML experiments you support.

You will be responsible for the hands‑on bring‑up, execution, and quality oversight of internal data