ML Data Operations Engineer

Imagine what you could do here. At Apple, new ideas have a way of becoming

extraordinary products, services, and customer experiences very quickly. Bring

passion and dedication to your job and there's no telling what you could

accomplish. Dynamic, smart people and inspiring, innovative technologies are the

norm here. The people who work here have reinvented entire industries with all

Apple Hardware products. The same passion for innovation that goes into our

products also applies to our practices, strengthening our commitment to leave

the world better than we found it. Join us to help deliver the next

groundbreaking Apple product. Do you love working on challenges that no one has

solved yet? As a member of our dynamic group, you will have the unique and

rewarding opportunity to craft upcoming products that will delight and inspire

millions of Apple's customers every single day.

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 collection studies, operating
• in a highly collaborative and technically demanding cross-functional environment
• MINIMUM 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.
• PREFERRED QUALIFICATIONS
• 3+ years of experience in user research operations, data collection
• coordination, or a related technical operations role. Hands-on familiarity with
• ML data pipelines, annotation tools, or dataset management practices. Experience
• working directly with engineering and science teams, with comfort reading
• technical documentation, data schemas, or experiment specifications. Familiarity
• with handling sensitive human data and adhering to strict privacy and consent
• protocols. Highly organized self-starter who can manage multiple concurrent
• internal studies with minimal oversight. Strong interpersonal and written
• communication skills, with the ability to collaborate fluidly across both
• technical and non-technical stakeholders. Strong attention to detail with the
• ability to identify data anomalies and inconsistencies during live collection.