Senior Engineering Program Manager for Machine Learning Compute Infrastructure
5 days ago
We are seeking a highly skilled Senior Engineering Program Manager to join our Machine Learning Platform & Technology (MLPT) team at Apple. As a key member of our team, you will be responsible for driving the development and execution of our ML Compute Platform, which provides services to all internal Apple developers focused on providing efficient and scalable compute and processing for machine learning lifecycle from model experimentation to deployment for the features across the entire Apple consumer ecosystem.
Key Responsibilities- Partner with engineering teams and other product/program managers across the org to drive and influence our compute roadmap for improving engineering efficiencies, reducing cost, and ensuring resiliency for Apple's ML use cases.
- Collaborate with Apple's AIML engineering teams to define a partnership strategy across the entire ML ecosystem including 3rd party public cloud, Apple's internal cloud, silicon vendors, and OSS providers to enable Apple Intelligence.
- Work with best in class engineering teams and developers across Apple to design the most efficient technologies to accelerate the ML lifecycle.
- Translate product requirements to technical use cases helping to see around corners enabling risk mitigation for engineering execution through creating partnership roadmap for delivery.
- Define new computing modalities using resources native to the cloud and take that vision to market in collaboration with internal and external partners.
- 5+ years of Product and/or technical program management experience covering some or as many of the following areas as possible: distributed computing, large scale cloud infrastructure, GPU/TPU usage for ML training, software and computing architectures, container stack, and networking.
- Strong desire to learn, skills for problem solving, and the ability to make sophisticated trade-offs.
- Experience in working with large scale GPU based AI applications, like Natural Language Processing and Recommendation, for training and inference or direct experience in building or managing cloud computing infrastructure and technologies.
- Proficiency in multitasking and leading sophisticated programs with cross functional teams with a track record in developing and bringing outstanding platforms to market.
- Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage, prioritize, and lead cross-functional teams under pressure.
- Highly developed drive to improve how things work, with a proven track record of driving dramatic improvements for team quality, performance, agility, or effectiveness.
- 5+ years of work experience in Product/Program and/or solutions architecture or developer roles.
- Demonstrated ability to define product vision, strategy, and roadmap along with the ability to deliver and execute.
- MS/PhD in EE, CS, Math, or Physics or equivalent work experience.
- Experience driving technical partnerships with internal and external cloud, software partners.
- Knowledge of computer systems and cloud infrastructure architecture.
- Familiarity with AI frameworks (e.g. Tensorflow, Pytorch or MxNet) and/or GPU development experience.
- Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts.
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Seattle, Washington, United States Apple Full timeAbout the RoleWe are seeking a highly skilled Senior Engineering Program Manager to join our Machine Learning Compute Infrastructure team at Apple. As a key member of our team, you will be responsible for establishing cross-functional partnerships with all of Apple's ML partners to understand their use cases and improve the ease of use of our compute...
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