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 theres 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 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 Apples customers every single day.

Apples ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning 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

Plan execute and track internal ML data collection studies in close collaboration with researchers engineers and scientists across the organizationnDevelop a working understanding of the ML experiments being supported including model objectives data requirements labeling and evaluation criteria to ensure datasets qualitynBring up and maintain pre-release hardware and software platforms used for data collection performing hands-on troubleshooting and triage to minimize study disruptionsnCreate and maintain clear technical documentation for hardware/software platform setup study protocols and data handling proceduresnManage day-to-day logistics of internal study sessions including scheduling participants configuring hardware and software setups and maintaining smooth session flownCollaborate with algorithm infrastructure and hardware/software teams to gather and validate data collection requirements before and during study executionnTrack and communicate study progress blockers participant throughput and dataset status to cross-functional partners and senior stakeholdersnIdentify gaps in existing workflows and take initiative to define document and socialize process improvements

Bachelors degree in HCI Cognitive Science Psychology Engineering Operations or equivalent combination of education and relevant supporting or executing human user studies behavioral research or data collection operations in an academic or industry record of partnering with ML engineers or researchers to define data requirements quality standards or collection specifications.

10 years of experience in user research operations data collection coordination or a related technical operations -on familiarity with ML data pipelines annotation tools or dataset management working directly with engineering and science teams with comfort reading technical documentation data schemas or experiment with handling sensitive human data and adhering to strict privacy and consent organized self-starter who can manage multiple concurrent internal studies with minimal interpersonal and written communication skills with the ability to collaborate fluidly across both technical and non-technical attention to detail with the ability to identify data anomalies and inconsistencies during live collection.