Engineering Program Manager, ML Lineage & Lifecycle Platform, Apple Services Engineering

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. \\n\\nThe AIML team at Apple is building groundbreaking technology... and we are looking for people like you! The Machine Learning Platform & Technology (MLPT) team in the AIML organization is seeking a senior engineering program manager for its ML Lifecycle platform. The ML Lifecycle Platform accelerates the continuous optimization of trustworthy models by streamlining how they are built, evaluated, deployed, and monitored end-to-end across Apple. We are seeking a seasoned Engineering Program Manager with deep expertise in ML Lifecycle management, ML lineage, AI compliance and regulations.

In this role, you will define and drive the future of Apple's ML Lineage solution, champion adoption across product teams, and lead programs that ensure compliance with evolving global standards. You will have the opportunity to set vision, influence strategy, and shape how Apple delivers the next generation of AI.

6+ years of product or technical program management experience covering as many of the following areas as possible: ML lifecycle management, ML lineage, metadata systems, model evaluation and monitoring, AI compliance and regulatory, data analytics, and search\nProven experience leading large and complex programs that cover the end-to-end ML model lifecycle, including training, evaluation, deployment, and continuous optimization, with a strong emphasis on lineage tracking and reproducibility\nDemonstrated ability to ensure ML workflows, models, and datasets follow global AI regulations, aligning technical, product, and compliance requirements\nOutstanding interpersonal and communication skills, including the ability to influence engineers, compliance/regulatory partners, and cross-functional partners\nStrong desire to learn, skill in problem solving, and ability to make nuanced trade-offs between innovation speed and compliance rigor\nBS in Computer Science, Engineering, or related technical field, or equivalent work experience

Masters degree