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Senior Engineering Program Manager for Machine Learning Compute Infrastructure
2 months ago
We are seeking a highly skilled Senior Engineering Program Manager to join our Machine Learning Platform & Technology (MLPT) team at Apple Inc. This is a unique opportunity to lead and drive the development of our next-generation Machine Learning models and infrastructure.
Key Responsibilities- Partner with engineering teams and product/program managers to drive and influence our compute roadmap for improving engineering efficiencies, reducing cost, and ensuring resiliency for Apple's ML use cases.
- Establish cross-functional partnerships with all of Apple's ML partners to understand their use cases and improve the ease of use of the compute services.
- 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.
- 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 and help deliver low-cost, high-performance solutions that meet customer needs and business outcomes.
- 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 distributed computing, large-scale cloud infrastructure, GPU/TPU usage for ML training, software and computing architectures, container stack, and networking.
- 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, with demonstrated creative and critical thinking capabilities, and the ability to quickly triage, prioritize, and lead cross-functional teams under pressure.
- 5+ years of work experience in Product/Program and/or solutions architecture or developer roles.
- MS/PhD in EE, CS, Math, or Physics or equivalent work experience.
- Highly developed drive to improve how things work, with a proven track record of driving dramatic improvements for team quality, performance, agility, or effectiveness.
- Demonstrated ability to define product vision, strategy, and roadmap, along with the ability to deliver and execute.
- Strong desire to learn, skills for problem-solving, and the ability to make sophisticated trade-offs.
- 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 the ability to explain sophisticated technical topics to non-experts.
