AIML - Sr Engineering Program Manager, Search Quality and Infrastructure

Apple Inc.

Seattle (WA)

On-site

USD 175,500 - 263,800

Full time

14 days+

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Benefits offered by this job

Employee stock program
Relocation assistance
Medical coverage
Dental coverage
Retirement benefits
Tuition reimbursement
Discounted products and services

Job summary

Apple Inc. in Cupertino, California, United States — Machine Learning and AI, seeks a Sr Engineering Program Manager for AIML, focusing on Search Quality and Infrastructure.

You will lead end-to-end program execution across multiple teams, align stakeholders and ensure transparent progress, and manage complex technical dependencies and system integration. The role requires 8+ years driving large-scale ML programs, strong leadership, exceptional communication, and a track record of delivering

Qualifications

  • 8+ years of experience driving large-scale program building machine-learning powered products.
  • 3+ years experience bringing a product from concept to completion, ideally working on machine-learning features and/or sophisticated backend and front-end systems.
  • Deep understanding of software development for machine-learned products and services, and how analytics and evaluation data can help improve those products.
  • Strong desire to learn, aptitude for problem solving, and the ability to make sophisticated trade-offs.
  • Excellent program management skills including program structuring and managing multiple work streams interdependently.
  • Self-motivated and proactive, with demonstrated creative and critical thinking capabilities required to forge a path to success.
  • Strong ability to communicate abstract ideas clearly, manage comprehensive yet succinct project status update to all levels of audience, both verbally and in written forms.
  • Bachelors or Master’s degree in Computer Science, or related field and equivalent experience

Responsibilities

  • Drive End-to-End program execution across multiple teams
  • Align stakeholders and maintain execution transparency
  • Manage technical dependencies and system integration
  • Drive continuous improvement and operational excellence

Skills

Program management
Cross-team leadership
Communication skills
Problem solving
ML systems knowledge
Strategic planning
Stakeholder management
Adaptability

Education

Bachelor's or Master's in CS

Job description

AIML - Sr Engineering Program Manager, Search Quality and Infrastructure

Cupertino, California, United States — Machine Learning and AI

Description
  • Drive consensus across multiple groups with varying opinions & needs. Influence entire teams around a common purpose and drive conference on the plan of execution
  • Create and manage project schedules with clear dependencies, critical path and systematic methodology to communicate status
  • Proactively identify and manage risks, close gaps and re‑plan as needed
  • Keep teams on critical path with efforts to minimize distractions
  • Provide clear, timely and objective communication, including regular program status updates and one‑off reviews as needed to executive team
  • Keep an eye on any potential gaps across dependency teams and proactively promote regular communications on common source of truth
  • Proactive and regular insurance of alignments across all partner teams when new factors arise
  • Lead measurements to help team understand and measure success, including quality, usage scale and other key KPIs
  • Advocate for user and company values when leading team to convergence on key open questions
  • Lead early feedback collection from internal dogfooding during feature convergence, drive team to address feedback in feature iterations
  • Advocate for quality and user experience, using both quantitative and qualitative data
  • Reflect on how the team operates, proactively propose and implement new ways to enable more effective processes & delivery of results
Responsibilities
  • Drive End‑to‑End program execution across multiple teams
  • Align stakeholders and maintain execution transparency
  • Manage technical dependencies and system integration
  • Drive continuous improvement and operational excellence
Minimum Qualifications
  • 8+ years of experience in driving large‑scale program building machine‑learning powered products
  • 3+ years experience bringing a product from concept to completion, ideally working on machine‑learning features and/or sophisticated backend and front‑end systems
  • Deep understanding of software development for machine‑learned products and services, and how analytics and evaluation data can help improve those products
  • Strong desire to learn, aptitude for problem solving, and the ability to make sophisticated trade‑offs
  • Excellent program management skills including program structuring and managing multiple work streams interdependently
  • Self‑motivated and proactive, with demonstrated creative and critical thinking capabilities required to forge a path to success
  • Strong ability to communicate abstract ideas clearly, manage comprehensive yet succinct project status update to all levels of audience, both verbally and in written forms
  • Bachelors or Master’s degree in Computer Science, or related field and equivalent experience
Preferred Qualifications
  • 8+ years experience in delivering search and generative answer quality improvements is a plus
  • Strong ability to deal with ambiguities, drive disambiguation and clarities, shepherd multiple teams to meet aggressive timeline
  • Experience orchestrating the delivery of multiple significant client/server software products requiring large organizations (100+) across teams to execute
  • Strategic and results‑driven mindset focusing on driving what matters
  • Strong leadership skills, including conflict resolution, negotiation, courage to take risks when needed
  • Strong adaptability and agility in making adjustments to project strategy and plan with evolving situations
  • Strong problem‑solving skills with attention to details
  • Solid knowledge of technical system architecture and systems design tradeoffs

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 $175,500 and $263,800, 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.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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