ML Engineering Program Manager (EPM), Apple Ads

Apple Inc.

Cupertino, Northern (CA, KY)

On-site

USD 176,000 - 312,000

Full time

11 days ago

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Benefits offered by this job

Employee stock purchase plan
Stock awards
Discounted stock
Medical coverage
Retirement benefits
Tuition reimbursement

Job summary

Apple invites applications for a senior ML Engineering Program Manager focused on Apple Ads. Based in Cupertino, you’ll lead complex ML initiatives across frameworks, platforms, and algorithmic systems, partnering with engineers, researchers, and leaders to craft executable roadmaps.

You’ll anticipate risks, align dependencies, and drive launch readiness across teams. You will communicate technical decisions to leadership, improve planning practices, and leverage AI/automation to boost team

Qualifications

  • 5+ years leading complex technical programs related to AI/ML systems.
  • Strong understanding of ML systems, software architecture, and dependencies across large-scale platforms.
  • Track record of driving roadmaps and execution across multiple teams.
  • Ability to engage engineers and leaders, ask effective questions, and identify risks beyond workstreams.
  • Excellent written and verbal communication with technical teams and leadership.
  • Demonstrated ability to learn complex technical domains quickly and operate independently in ambiguity.

Responsibilities

  • Own planning and execution of complex ML programs spanning ML frameworks, platforms, and algorithmic systems.
  • Develop a strong understanding of system architecture and cross-team dependencies to anticipate risks and downstream impact.
  • Partner with engineers, researchers, and technical leaders to translate strategic priorities into executable roadmaps.
  • Drive alignment on sequencing, technical tradeoffs, dependencies, and launch readiness across engineering and product teams.
  • Communicate technical decisions, program risks, progress, and outcomes clearly to technical teams and senior leadership.
  • Improve planning and execution practices, including thoughtful use of AI and automation to increase team effectiveness.

Skills

ML program mgmt
Cross-team leadership
System architecture
Technical communication
Risk assessment
Ambiguity learning

Job description

ML Engineering Program Manager (EPM), Apple Ads

Cupertino, California, United States Software and Services

At Apple, we work every day to create products that enrich people’s lives. Our Apple Ads group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.The Apple Ads EPM team is looking for a senior ML-focused Engineering Program Manager to lead complex initiatives across our machine learning and algorithmic systems. You will partner closely with engineers, researchers, product managers, and technical leaders to drive strategic roadmaps, connect dependencies across teams, anticipate risks, and deliver scalable ML capabilities that support Apple Ads.

Description

You will operate at the intersection of machine learning, engineering, and program execution, developing enough technical depth to understand how systems work end-to-end and how changes may impact teams across the organization. This role requires strong systems thinking, curiosity, and communication, with the ability to bring structure to ambiguous technical problems and influence teams toward shared outcomes.

Responsibilities
  • Own planning and execution of complex programs spanning ML frameworks, platforms, and algorithmic systems.
  • Develop a strong understanding of system architecture and cross-team dependencies to anticipate risks and downstream impact.
  • Partner with engineers, researchers, and technical leaders to translate strategic priorities into executable roadmaps.
  • Drive alignment on sequencing, technical tradeoffs, dependencies, and launch readiness across engineering and product teams.
  • Communicate technical decisions, program risks, progress, and outcomes clearly to technical teams and senior leadership.
  • Improve planning and execution practices, including thoughtful use of AI and automation to increase team effectiveness.
Minimum Qualifications
  • 5+ years leading complex technical programs related to AI/ML systems.
  • Strong understanding of ML systems, software architecture, and technical dependencies across large-scale platforms.
  • Track record of driving engineering roadmaps and execution across multiple teams and technical disciplines.
  • Ability to engage credibly with engineers and technical leaders, ask effective technical questions, and identify risks beyond individual workstreams.
  • Excellent written and verbal communication skills with technical teams and senior leadership.
  • Demonstrated ability to learn complex technical domains quickly and operate independently in ambiguity.
Preferred Qualifications
  • Knowledge of ML workflows, frameworks, platforms, prediction systems, or algorithmic improvements.
  • Background working with researchers or applied research teams to translate exploratory work into engineering execution.
  • Familiarity with distributed systems, low-latency architectures, cloud platforms, or other large-scale systems.
  • Background in advertising, ranking, recommendations, experimentation, or performance marketing systems.
  • Demonstrated use of AI or automation to improve engineering or program-management workflows.
  • History of influencing technical direction and challenging assumptions across teams without direct authority.

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 $311,700, and your base pay will depend on your skills, qualifications, experience, and location.

Benefits
  • 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.
  • Apple employees 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.
  • 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

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