Senior Engineering Program Manager for Machine Learning Compute Infrastructure
3 weeks ago
At Apple, we're committed to innovation and excellence in machine learning. We're seeking a highly skilled Senior Engineering Program Manager to join our AIML team and lead the development of our Machine Learning Compute Platform. This platform provides critical services to all internal Apple developers, enabling efficient and scalable compute and processing for machine learning lifecycle from model experimentation to deployment.
Key Responsibilities
As a Senior Engineering Program Manager, you will 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. You will also have the opportunity to be the leader with vision, identifying new technologies for adoption and be the central PM voice for interactions with public cloud providers, such as AWS and GCP, as well as internal Apple Cloud.
Requirements
We're looking for someone with passion in this space and an experience building large-scale infrastructure for cloud platforms with a strong knowledge of ML workflow. You will have 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 are essential. 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 is highly desirable.
Preferred Qualifications
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.
What We Offer
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $157,000 and $278,900, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
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