What if the way an entire engineering organization worked with its data could be reinvented? On Apple's Battery Engineering team, you'll build the data systems and AI interface that battery engineers across the company rely on reliable pipelines feeding one of the cleanest and largest battery datasets anywhere, and a natural language interface that's changing how engineers work with that data. You'll be building the platform the whole battery organization runs on. It's a rare chance to sharpen your data engineering craft and immerse yourself in applied AI at once.
Data & ML pay context
Based on 1,391 disclosed Data & ML salaries on RoleSuite, the role pays a median of $166K/year, with most offers between $128K and $209K (10th–90th percentile: $106K–$250K).
This posting lists $181K–$272K, above the $166K market median.
See the full Data & ML salary breakdown →