Engineering Program Manager, Data Platform, Apple Services Engineering

Apple • Seattle, WA

1d

About The Position

Are you ready to take a pivotal role in shaping Apple’s next-generation products
by driving the adoption of machine learning and equipping engineering teams with
robust data insights? Join the Apple Data Platform EPM team as a Senior Program
Manager, focusing on Machine Learning Infrastructure and data platform products.
You’ll play a critical role in shaping and scaling the platform that powers AI
application development across Apple. The Apple Data Platform team powers GenAI,
ML, data analytics, and exploration platforms that fuel the App Store, Music,
Search, Maps, iCloud and many other beloved products in the Apple ecosystem. Our
mission is to provide ML engineers and data scientists with an innovative,
reliable, secure, and user-friendly platform for ingesting, storing, processing,
and interacting with data, ultimately helping teams derive insights that drive
product success.

In this role, you’ll oversee a platform responsible for secure data ingestion,
storage, management, feature engineering, real-time and batch processing, data
transformation, and analytics, among other critical functions. This
infrastructure enables Apple’s engineering teams to manage the ML lifecycle
effectively, supporting model training and enhancing product quality to deliver
a seamless, privacy-centric experience to Apple customers. You’ll collaborate
extensively with cross-functional partners within and beyond the AI/ML
landscape, defining and delivering impactful ML and data platform products that
meet Apple’s organizational needs. With a deep understanding of user needs,
you’ll own complex challenges, exploring all facets of business opportunities,
and connecting insights across roles and functions to drive innovative
solutions.

Requirements

• Program management in ML Infrastructure: 7+ years of experience leading large cross-functional infrastructure programs, with 2+ years leading ML, AI, and data programs.
• Proven Delivery of Large-Scale Solutions: Demonstrated success in delivering reliable, large-scale ML infrastructure and data platform products, including data storage, feature store, data management, data versioning, privacy, governance, analytics, and backend services that support high-throughput, user-facing applications.
• Technical Expertise in Cloud and Hybrid Platforms: Solid understanding of cloud technologies and experience in building hybrid cloud ML infrastructure and data platforms.
• BS in Computer Science, Computer Engineering, or related technical field OR relevant industry experience

Nice To Haves

• User-Centric Program Strategy: Passionate about optimizing the user experience, providing thought leadership to enhance end-to-end user interactions for technical products.
• Technical Proficiency in ML and Data Tools: Familiarity with ML infrastructure, frameworks like PyTorch and TensorFlow, Jupyter notebooks, Spark, Trino, Flink, SQL, Python, and other advanced analytical tools is a significant asset.
• Familiarity with Distributed Cloud ML Systems: Familiarity with distributed systems and large-scale compute environments.
• Background working closely with applied Data & ML infra teams.
• Experience with developer platforms, APIs, or infrastructure products.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior