Job description
Drive and ship large, multi-functional software development initiatives to support various productivity applications Lead all aspects of multiple concurrent projects and features including scope, requirements, timelines, resource allocation tracking, partner management, communications, and risk assessments Optimize process on how features are built and implemented Ability to work on cross functional projects with multi-functional schedules across the Apple ecosystem Collaborate with Software Engineering, Design, QA and cross-functionally with various organizations to manage and track deliverables Understand and work on projects with multi-functional schedules, across Software Engineering and other Apple groups Collaborate with Engineering partners to understand and define their data requirements from inception to delivery throughout the ML lifecycle Design and implement ML Data Ops strategies optimized for each feature (collection and annotation), including the identification and sourcing or creation of vital tooling Collaborate with vendors to ensure tasks are calibrated appropriately; track and report on quantity and quality metrics