Senior Engineering Program Manager, On-Device ML

At Apple, we work every day to build products that enrich people’s lives. The On-Device Machine Learning (ODML) team in Graphics, Games, and Machine Learning (GGML) Software is seeking a Technical Program Manager to drive high-performance ML frameworks and OS features that make it easier for developers inside and outside Apple to adopt and accelerate machine learning across our products and ecosystems. The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple’s hardware and software platforms. We support ML engineers and scientists through technologies that combine the latest in ML innovation and deep integration with Apple silicon and infrastructure, unlocking the creation of customer experiences that surprise and delight!

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 machine-learned features on Apple hardware. 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!

Minimum Qualifications

6+ years in a role leading cross-functional teams in product/project/program development. BS/MS (EE/CS/CE), or a related technical field. Proven track record of delivering large-scale engineering products or platforms involving machine learning, data processing, and data analytics tools at Internet scale, including experience with ML training (e.g. train/test, evaluation, measurement), data processing pipelines, large-scale and high-throughput backend services, and/or user-facing applications that use those services and deliver measurable business or product value. Ability to engage with business partners, translate needs into technical roadmaps, and deliver and effectively communicate and partner with executive stakeholders. Passionate about delivering the best user experience to internal users by actively surveying user needs and translating requirements into a feature roadmap. Ability to use data and metrics to back up assumptions, make recommendations, and drive actions. Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, and lead cross-functional teams under pressure. Effective and clear communication and presentation skills, written and verbal.

Preferred Qualifications

Prior program management or engineering experience in Machine Learning training or inference technologies. Experience using objectives and key results to drive product outcomes. Experience building technical communities across organizational boundaries.