Experience working on embedded operating systems: Understanding of large-scale operating systems development and how to build within constraints like performance, memory, and power Experience building across the full iOS system stack using Objective-C, Swift, and C++ Experience building features that span multiple system components, with familiarity in on-device inference constraints including latency, privacy, and resource budgets Cross-functional collaboration with teams such as Privacy Engineering to ensure privacy-preserved and secured data collection for model training and optimization Experience with UI development, design and prototyping7-10 years of experience: Shipping and evaluating at scale Training and deploying machine learned models Building great user experiences Working on embedded operating systemsBS, M.S. or PhD in Software Engineering, Computer Science, Machine Learning, or related field. Experience shipping and evaluating at scale: Experience shipping ML models to millions of users and interpreting real-world metrics to evaluate model and product impact Designing and running evaluation frameworks to measure model quality, user engagement, and product outcomes at scale Building instrumentation and telemetry pipelines to collect, analyze, and act on user signals across large populations Planning and implementation of experimentation of various on-device machine learning models to understand the performance of deployed models and optimize performance.