채용
Benefits & Perks
•Annual team offsites
•Flexible PTO policy
•Health, dental, and vision coverage
•Parental leave program
•Wellness benefits
Required Skills
Airflow
PyTorch
SQL
About Us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
Size: 10000+ employees
Industry: Technology, Information Technology, Software, Consumer Goods & Services
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.","responsibilities":"Lead and grow a team of platform engineers building ML infrastructure, APIs, and services for Apple Intelligence
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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 Preferred Qualifications
BS, MS, or PhD in Computer Science, Machine Learning, or related field (or equivalent industry experience)
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 (Py Torch, Tensor Flow, 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
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 .
Client-provided location(s): Reedley, CA
Job ID: apple-200635998-3401_rxr-660
Employment Type: OTHER
Posted: 2026-01-07T19:13:49
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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
Recommend to a Friend
Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist ICT2
0 reports
$121,979
total / year
Base
-
Stock
-
Bonus
-
$103,682
$140,276
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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