Role at a glance
- Salary
- $175.5K – $311.7K/yr
- Location
- Cupertino, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years leading complex technical programs related to AI/ML systems.
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Role Summary
The Apple Ads EPM team is seeking a senior ML-focused Engineering Program Manager to lead complex initiatives across machine learning and algorithmic systems. The role partners with engineering, research, product, and technical leadership teams to deliver scalable ML capabilities for Apple Ads.
What You'll Do
- 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.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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; excellent written and verbal communication skills; ability to learn complex technical domains quickly and operate independently in ambiguity.
Required
- 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...
- 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
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
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.
Pay & Benefits — Cupertino, California, United States
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.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.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.