Role at a glance
- Salary
- $207.4K – $311.7K/yr
- Location
- Cupertino, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 10+ years of experience in project or program management with prior experience in machine learning.
- Education
- BS, MS or PhD in a quantitative field (Statistics, Computer Science, etc.) or equivalent experience.
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Role Summary
This role program manages Apple’s AI/ML Health platform and features within the AI and Machine Learning organization. The work supports ML-powered Health capabilities by coordinating engineering, data science, product, clinical operations, and other partners.
What You'll Do
- Define, plan, and execute complex AI/ML programs across multiple teams.
- Drive alignment between technical roadmaps, business objectives, and regulatory requirements.
- Manage project timelines, deliverables, and partner communication.
- Partner with data scientists and ML engineers on model training, validation, and deployment pipelines.
- Oversee MLOps practices including model performance monitoring, versioning, and retraining strategies.
- Define and track success metrics for AI/ML initiatives and use data-driven approaches to optimize delivery processes and product outcomes.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Minimum: prior experience in machine learning; deep Health domain expertise in AI based health solutions; program management across multiple work streams and teams; product and technical orientation; strong analytical, machine learning metrics, communication, decision-making, conflict-resolution, and influence skills; BS, MS or PhD in a quantitative field or equivalent experience.
Required
- Project or program management experience with prior experience in machine learning
- Deep Health domain expertise in AI based health solutions
- Program structuring and managing multiple work streams interdependently
- Strong understanding of metrics measuring machine learning models and overall system quality
- Experience leading metrics-driven projects or programs
- Strong verbal and written communication skills
- Ability to drive decisions, resolve conflicts, and influence outcomes without direct authority
- BS, MS or PhD in a quantitative field (Statistics, Computer Science, etc.) or equivalent experience
Preferred
- Prior PM or engineering experience in shipping products driven by machine-learned systems to worldwide users
- MS or PhD in a quantitative field (Statistics, Computer Science, etc.) or equivalent experience
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
Do you love taking on challenges that create a positive impact? Are you passionate about empowering many ground-breaking intelligent experiences to be made? We’re looking for people like you! As part of Apple’s AI and Machine Learning org, you will be developing new ML-powered Health features and capabilities for users. This role will drive the platform used to build Health features as well as building and improving new features and products to make people healthier.
Description
You will program manage AI/ML Health platform and features.
Responsibilities
Program Leadership
Define, plan, and execute complex AI/ML programs across multiple teams (engineering, data science, product, and clinical operations).
Drive alignment between technical roadmaps, business objectives, and regulatory requirements.
Manage project timelines, deliverables, and partner communication.
Depth in AI/ML and Health domain
Partner with data scientists and ML engineers to design scalable model training, validation, and deployment pipelines.
Oversee MLOps practices—monitoring model performance, versioning, and retraining strategies.
Cross-Functional Coordination
Translate technical concepts into business language for non-technical partners.
Facilitate communication between clinicians, data scientists, and software engineers.
Identify and mitigate risks related to data quality, regulatory changes, and technical dependencies.
Metrics & Continuous Improvement
Define and track success metrics for AI/ML initiatives (e.g., accuracy, recall, clinical impact, time-to-deploy).
Use data-driven approaches to optimize delivery processes and product outcomes.
Familiarity with benchmarks used in Health technologies and products
Minimum Qualifications
10+ years of experience in project or program management with prior experience in machine learning.
Deep Health domain expertise in AI based health solutions.
Excellent program management skills including program structuring and managing multiple work streams interdependently with the capability to work across a large number of teams to enforce process and efficient outcomes in a data-driven environment.
Strong product and technical orientation and ability to maintain sight of user experience during feature development.
Strong analytical skills and obsession for data, solid understanding of metrics measuring machine learning models and overall system quality.
Demonstrated data-driven decision-making skills, including experience leading metrics-driven projects or programs.
Strong verbal and written communication skills, including ability to independently draft and present deliverables, recommendations.
Demonstrated ability to drive decisions, resolve conflicts, and influence outcomes without direct authority.
BS, MS or PhD in a quantitative field (Statistics, Computer Science, etc.) or equivalent experience.
Preferred Qualifications
Prior PM or engineering experience in shipping products driven by machine-learned systems to worldwide users.
MS or PhD in a quantitative field (Statistics, Computer Science, etc.) or equivalent experience.
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 $207,400 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.