As a senior EPM for Apple's Foundation Models, you will lead the definition, execution, and delivery of advanced AI technologies. This role involves orchestrating the entire program lifecycle, from data acquisition to model deployment. You will collaborate with cross-functional teams, including Research, OS Software, Privacy, and Legal, to ensure compliance and innovation. Your expertise in machine learning and project management will be critical in delivering privacy-focused experiences to millions of users.

• 6+ years of experience in program management in the data acquisition of ML technologies
• Experience with machine learning concepts and technologies
• Excellent communication and presentation skills
• Demonstrated skill in negotiating and distilling technical requirements
• Experience leading cross-functional security and privacy initiatives
• Project management skills including managing multiple work streams
• Bachelor's or Master's degree in EE/CS/CE or equivalent
• Direct program management experience with Generative AI or Large Language Models is highly desired

• Own and drive the definition, execution, and delivery of advanced AI programs
• Leverage deep technical expertise in the large-scale ML lifecycle
• Orchestrate cross-functional efforts to build influential partnerships
• Collaborate with teams across Research, OS Software, Privacy, and Legal
• Independently draft and present deliverables and communication strategies

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.