AIML - Sr Engineering Program Manager, Health AI
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.
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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
Preferred Qualifications
Prior PM or engineering experience in shipping products driven by machine-learned systems to worldwide users
BS, MS or PhD in a quantitative field (Statistics, Computer Science, etc.) or equivalent experience
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
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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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