ML Data Ops Engineer for Research & Data Pipelines

Socket.dev; Santa Clara (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Apple in Santa Clara, CA is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. 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 collection studies,

Qualifications

• Bachelor's degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or equivalent.
• Experience supporting or executing human user studies or data collection operations in academic or industry settings.
• Partner with ML engineers to define data requirements, quality standards, or collection specifications.

Responsibilities

• Hands-on bring-up, execution, and quality oversight of internal data collection studies.
• Collaborate with ML scientists and engineers in a cross-functional environment.

Skills

User research operations

Data collection coordination

Cross-functional collaboration

Education

Bachelor's degree in HCI / Cognitive Science / Psychology / Engineering / Operations

Tools

ML data pipelines

Annotation tools

Dataset management

Job description

Apple in Santa Clara, CA is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. 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 collection studies,