Job Details

Role Number: 200635998-3401

Summary

The Apple Intelligence Platform team builds the foundational on-device software infrastructure that powers Apple Intelligence. We develop the APIs, platforms, and systems that enable breakthrough features like Writing Tools, Siri, Visual Intelligence, and Image Playground. Our work spans the full software stack — from low-level inference engines and runtime optimization to high-level platform APIs like the Foundation Models API.

Our mission is to build production-ready software platforms that deliver magical experiences to millions of users. We work closely with research teams to understand new ML techniques, then focus on the engineering challenges of building robust, scalable systems to ship them. Whether it's designing APIs for agentic workflows, optimizing inference pipelines, implementing efficient caching strategies for attention mechanisms, or creating infrastructure for search and retrieval, we're focused on the platform engineering and software architectures that makes Apple Intelligence possible.

We value strong software engineering fundamentals combined with deep understanding of ML systems and techniques. Our team members know how to build production platforms that are reliable, performant, and maintainable at scale, while also understanding the ML primitives — transformers, attention, KV caches, kernels — that power these systems. We're looking for a leader who can drive platform development, build strong engineering teams, and deliver the software infrastructure that powers Apple Intelligence features used by millions every day.

Description

As a Senior Machine Learning Manager on the Apple Intelligence Platform team, you will lead a team of engineers building critical platform infrastructure and APIs that power features used by millions of Apple customers daily. You'll be responsible for the technical execution and delivery of software systems that span the platform stack — from runtime engines and inference pipelines to developer-facing APIs and service integrations. This role requires someone who deeply understands both ML fundamentals and platform engineering, able to make informed architectural decisions about how to build software systems that efficiently support modern ML techniques.

You will work cross-functionally with researchers, product teams, and platform engineers to build the production software systems needed to ship new capabilities. Success in this role means delivering robust, well-architected platforms that leverage your understanding of ML to enable world-class Apple Intelligence experiences.

Minimum Qualifications

• 8+ years of experience in ML platform engineering, ML infrastructure, or related fields, with 3+ years in technical leadership or management roles

• Deep understanding of ML fundamentals including neural network architectures, transformers, attention mechanisms, and inference optimization

• Strong software engineering fundamentals with expertise in systems design, API architecture, and distributed systems

• Proven experience building and shipping production ML APIs, platforms, or infrastructure at scale

• Strong knowledge of ML software stacks and modeling primitives: KV caching, kernel methods, attention architectures, and efficient inference techniques

• Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX), serving systems, and production ML deployment

• Understanding of modern agentic workflows, multi-step reasoning systems, and API design for complex ML applications

• Track record of leading engineering teams and delivering complex ML platform projects from conception to production

• Strong architectural skills with experience making technical decisions for large-scale, high-performance ML systems

• Excellent communication and collaboration skills with ability to work across research, product, and engineering teams

Preferred Qualifications

• BS, MS, or PhD in Computer Science, Machine Learning, or related field (or equivalent industry 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .