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The ASE - AI Infrastructure team at Apple is building the next generation of Machine Learning models and we are looking for people like you to come build Apple Intelligence with us! The AI Infrastructure EPM team in the organization is seeking a Senior Engineering Program Manager for its ML Compute Platform. This platform 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.

Description

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 partner with the 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. Come, join us and build the new frontier technologies that support Apple Intelligence!","responsibilities":"As a key EPM of the AIML team, you will be responsible for establishing cross-functional partnerships with all Apple's ML stakeholders understanding their use cases and improve the ease of use of the compute services.

You will collaborate with the 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.

Develop and execute capacity forecasting models to ensure optimal compute resource availability for current and future ML workloads.

Analyze and track ML compute usage to identify opportunities for cost savings without compromising performance. Propose and implement cost-optimization strategies.

Provide regular reports to senior leadership on ML compute capacity, performance trends, and cost management efforts. Communicate complex technical concepts to non-technical stakeholders.

We work with best in class engineering teams and developers across Apple to design the most efficient technologies to accelerate the ML lifecycle. You will be the trusted advisor to our customers to deeply understand their needs and help deliver low cost, high performance solutions that meet their use cases and business outcomes.

Translate the product requirements to technical use cases helping to see around corners enabling risk mitigation for engineering execution through creating partnership roadmap for delivery.

You will define new computing modalities using resources native to the cloud and take that vision to market in collaboration with internal and external stakeholders.

Preferred Qualifications

5+ years of work experience in Product/Program and/or solutions architecture or developer roles

Strong desire to learn, aptitude for problem solving, and the ability to make sophisticated trade-offs

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

Demonstrated ability to define product vision, strategy, and roadmap along with the ability to deliver and execute

Experience driving technical partnerships with internal and external cloud, software stakeholders

Knowledge of computer systems and cloud infrastructure architecture

Familiarity with AI frameworks (e.g. Tensorflow, Pytorch or Mx Net) and/or GPU development experience

Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts

Minimum Qualifications

3+ 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

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

MS/PhD in EE, CS, Math, or Physics or equivalent work experience

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 .

Pay & Benefits

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 $172,100 and $305,600, 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. You'll also receive benefits including: 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.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.