Apple · 1 month ago
Sr Machine Learning Manager, Intelligent System Experience
San Francisco Bay Area
Full-time
Onsite
Senior Level, Lead/Staff
$262K/yr - $433K/yr
8+ years expApple is seeking a Senior Machine Learning Manager for the Intelligence Platform team, which builds the foundational software infrastructure for Apple Intelligence. The role involves leading a team of engineers to develop critical platform infrastructure and APIs, ensuring the delivery of robust software systems that support modern ML techniques.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Lead and grow a team of platform engineers building ML infrastructure, APIs, and services for Apple Intelligence
Build production software platforms to support new ML techniques, translating research innovations into shippable, scalable systems
Ensure platforms meet Apple's standards for performance, reliability, scalability, privacy, and user experience
Make large-scale architectural decisions
Guide development of APIs and frameworks for agentic workflows and complex multi-step ML systems
Establish engineering excellence through software architecture standards, code quality practices, testing, and operational rigor
Mentor engineers on platform engineering, ML systems implementation, API design, and production software best practices
Partner with product and engineering leaders to align platform capabilities with feature requirements and business goals
Qualification
Required
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
BS, MS, or PhD in Computer Science, Machine Learning, or related field (or equivalent industry experience)
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
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2025-09-25
Company data provided by crunchbase