About the job
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.
Responsibilities
As a key EPM in the AIML Lifecycle Platform team, you will establish strong cross-functional partnerships with ML researchers, engineers, and compliance teams to understand requirements and shape the ML Lifecycle Platform roadmap.
You will drive the build-out and adoption of Apple’s ML Lifecycle platform and ML Lineage solutions, ensuring models, datasets, and transformations are consistently compliant and auditable across the lifecycle.
Lead programs that embed AI compliance and regulatory requirements into ML development and deployment workflows, guaranteeing that production features meet evolving global and regional regulation standards.
Partner with engineering to deliver scalable and robust metadata and lineage systems that provide traceability, reproducibility, and accountability for ML models at Apple.
Stay ahead of emerging AI governance, compliance, and responsible AI practices, evaluating technologies and methodologies to strengthen Apple’s leadership in trustworthy AI.
Serve as the central PM voice connecting AIML engineers, regulatory experts, and cross-functional partners to align on strategy, execution, and long-term vision.
Qualifications
Minimum
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
Proven 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
Demonstrated ability to ensure ML workflows, models, and datasets follow global AI regulations, aligning technical, product, and compliance requirements
Outstanding interpersonal and communication skills, including the ability to influence engineers, compliance/regulatory partners, and cross-functional partners
Strong desire to learn, skill in problem solving, and ability to make nuanced trade-offs between innovation speed and compliance rigor
BS in Computer Science, Engineering, or related technical field, or equivalent work experience
Preferred
Masters degree