Sr Engineering Program Manager, AI/ML
At Apple, we believe excellent ideas have a way of becoming extraordinary products with unique customer experiences at the highest quality. When you bring passion and dedication to your job, there's no telling what you could accomplish! The people here at Apple don't just build products - they craft the kind of wonder that's revolutionized entire industries.
The Graphics, Gaming & Machine Learning (GGML) team is seeking a Technical Program Manager to help shape the future of scalable machine learning infrastructure. In this role, you'll lead planning, execution, and cross-functional coordination across engineering teams to deliver robust, high-performance ML systems that operate across Apple's cloud and distributed environments. You'll help define and run processes that ensure the timely delivery of GPU, compute, and data infrastructure components that support large-scale ML workloads.
We are looking for an energetic and motivated individual with strong communication, organizational, and technical skills who thrives in a fast-paced, dynamic environment.
Description
We're looking for a strong Engineering Program Manager with a proven record of building and maintaining complex software platforms, tools, and processes that deliver new end-to-end experiences on-device. You will partner with teams across Apple and deliver some of the most ambitious capabilities for executing AI/ML features on scalable distributed systems, and ensuring reliability, scalability, and efficiency of ML pipelines and services.
If you are the type of person that feels a personal stake in everything that you work on, have a strong sense of ownership, thrive in fast-paced environments with lots of ambiguity, enjoy working with complex technologies, know how to foster strong relationships, build trust, and work for the success for the entire team, then you will be a strong match for our team. We want to talk to you!
Preferred Qualifications
BS/MS (EE/CS/CE), or a related technical field.
Prior PM or engineering experience in AI/ML model training, high-performance distributed computing, or inference optimization technologies
Experience with silicon acceleration and compute frameworks
Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, and lead cross-functional teams under pressure
Minimum Qualifications
5+ years in a role leading cross-functional teams in product/project/program development
Proven track record of delivering large-scale engineering products or platforms involving machine learning, including experience with model training and optimization, distributed server side inference, and/or user-facing applications that use those services and deliver measurable business or product value.
Experience with distributed systems, cloud infrastructure, and ML frameworks
Lead multi-functional teams to develop and deploy GPU-accelerated AI/ML solutions across Apple's product ecosystem.
Drive graphics/compute API and software/hardware feature development lifecycles from concept through launch, ensuring timely and high-quality delivery.
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Familiarity with ML lifecycle from experimentation to production.
Drive resolution of technical risks and challenges, working in close partnership with engineering leads.
Champion innovation and execution excellence, setting strategic direction for GPU-accelerated AI/ML initiatives at Apple.
Effective and clear communication and presentation skills, written and verbal
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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