Sr Engineering Program Manager, AIML Foundation Models

Apple•Cupertino, CA

About The Position

As a senior EPM for Apple's Foundation Models, you will own and drive the definition, execution, and delivery of some of the world's most advanced AI. This is not just about evaluating models; it's about orchestrating the entire end-to-end program that brings them to life. You will leverage your deep technical expertise in the large-scale ML lifecycle—from massive data pipelines and distributed training to sophisticated evaluation and on-device inference—to ship groundbreaking, privacy-focused experiences to millions of users. Success in this role requires orchestrating a massive cross-functional effort, building influential partnerships with world-class teams such across Research, OS Software, Privacy, and Legal.

Requirements

6+ years of experience in program management in the data acquisition of ML technologies
Experience with machine learning concepts and technologies.
Detailed understanding of building, evaluating and release management processes for ML systems
Excellent communication and presentation skills, with the ability to convey complex technical information to diverse audiences.
Demonstrated skill of negotiating and distilling sophisticated technical requirements from multiple partners into a coherent long term platform roadmap
Experience leading cross functional security and privacy initiatives
Project management skills including project structuring and managing multiple work streams interdependently
Demonstrated ability to work collaboratively across the organization
Ability to independently draft and present deliverables, recommendations and communication strategies
Bachelor's or Master's degree in EE/CS/CE or equivalent

Nice To Haves

Direct program management experience with Generative AI or Large Language Models (LLMs) is highly desired.
A background in programs involving hardware/software co-design for ML acceleration and shipping AI features in a consumer product would be a significant advantage.

Responsibilities

Own and drive the definition, execution, and delivery of advanced AI models.
Orchestrate the end-to-end program for bringing AI models to life.
Leverage technical expertise in the large-scale ML lifecycle (data pipelines, distributed training, evaluation, on-device inference).
Ship groundbreaking, privacy-focused AI experiences.
Orchestrate cross-functional efforts.
Build partnerships with teams across Research, OS Software, Privacy, and Legal.
Lead cross-functional security and privacy initiatives.
Collaborate with Legal, Privacy Engineering, Security, and other teams to ensure compliance with privacy policies and security mandates.
Project management including project structuring and managing multiple work streams interdependently.
Work collaboratively across the organization.
Independently draft and present deliverables, recommendations, and communication strategies.