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Sr Machine Learning Manager, Intelligent System Experience

Apple

Sr Machine Learning Manager, Intelligent System Experience

Apple

Reedley, CA

·

On-site

·

Full-time

·

1mo ago

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

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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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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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About Apple

Apple

Apple

Public

A 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