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Apple AIML - Sr Manager EPM ML Compute & Capacity Management United States, Washington, Seattle 892282834
10.08.2024
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Description
RESPONSIBILITIES INCLUDE:- Translate the product/program requirements to technical use cases, helping to see around corners and enabling risk mitigation for engineering execution through creating a 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 stakeholders.- Drive complete product life cycle from idea to development to go-to-market within Apple.- Support Engineering with use cases, platform architecture, software stack, and the total solution value proposition for ML Compute needs.- Interact with external ML Compute vendors to ensure product success.- Ensure the program meets all specifications and key metrics.- Translate customer feedback and market dynamics into potential changes to ensure a differentiated product roadmap and communicate this to senior management
Minimum Qualifications
- MS/PhD in EE, CS, Math, or Physics or equivalent work experience
- 10+ years of Product Management, including 5+ years of work experience in leading and managing people in ML Infrastructure space
- 3+ years of working in a large matrixed organization with operating budgets and/or project financials.
- Demonstrated ability to define product vision, strategy, and roadmap, along with the ability to deliver and execute
- Familiarity with AI frameworks (e.g., Tensorflow, Pytorch, or MxNet) and/or GPU development experience
Preferred Qualifications
- Knowledge of computer systems and cloud infrastructure architecture or Software development and some data science experience
- Technical product/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, aptitude for problem-solving, and the ability to make sophisticated trade-offs.
- Experience developing or deploying large-scale GPU-based AI applications, like Natural Language Processing and Recommendation, for training and inference or direct experience building or managing cloud computing infrastructure and technologies.
- Proficiency in multitasking and leading sophisticated programs with a track record in launching outstanding platforms to market.
- Have led and scaled a team of product/program managers. Foster a culture of innovation, accountability, and continuous improvement. Provided mentorship and career development opportunities to team members, ensuring they are motivated and equipped to meet their goals.
- Experienced closely working with engineering leaders, data science teams, and other organizations to synchronize efforts and prioritize projects that improve product impact and value.
- Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, and lead cross-functional teams under pressure.
- Outstanding interpersonal skills, including the ability to persuade and influence a diverse set of internal Apple and external public cloud stakeholders
- Responsible for the entire product development lifecycle from concept through launch and beyond.
- Excellent interpersonal skills, including ability to explain sophisticated technical topics to non-experts
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 $190,200 and $340,400, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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