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Senior Machine Learning Engineer, Apple Intelligence Data Platform

Apple

Senior Machine Learning Engineer, Apple Intelligence Data Platform

Apple

Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Annual team offsites

Flexible PTO policy

Health, dental, and vision coverage

Top Tier compensation with equity

Required Skills

SQL

PyTorch

Apache Spark

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Apple

Senior Machine Learning Engineer, Apple Intelligence Data Platform

1 week ago• Seattle, WA
Viewed on February 1, 2026
Apply on company site

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

View Company Profile:

Are you excited about building innovative generative AI experiences that empower millions of users daily? Do you thrive in collaborative environments and enjoy applying your machine learning expertise to real-world user experiences? If so, we'd love to hear from you. We're looking for a Senior Machine Learning Engineer to join the Apple Intelligence Data Platform team. This team powers key intelligence features across Apple's ecosystem - including Siri Suggestions, the Shortcuts app, and more - by building scalable, Description

As an engineer on the Apple Intelligence Data Platform team, you will work on developing and integrating foundational components for on-device and cloud-based intelligence. You will focus on designing, building, and deploying scalable agent systems that understand your context and personal knowledge. Your work will directly influence how users interact with Apple products through context-aware, proactive, and personalized experiences. This role is ideal for candidates with hands-on experience in Vector databases, Knowledge Graphs, Semantic Search, Retrieval-Augmented Generation (RAG), decoding strategies, Generative AI inference, and prompt optimization. You will collaborate closely with several engineering teams at Apple -such as Preferred Qualifications

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D in Computer Science or a related field:

Deep understanding of machine learning and deep learning algorithms

Experience in LLM, machine learning, deep learning, information retrieval or natural language processing

Strong analytical and independent problem-solving skills

Experience working in cross-functional teams across product, design, and infrastructure

Minimum Qualifications:

5+ years of increasing responsibility and relevant experience

Bachelor's Degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field.

Experience in Knowledge Graphs (KG), RAG systems, integration of LLMs with external memories, Vector databases and related fields.

Excellent software design, problem solving, critical thinking and collaborative skills including written and verbal communication

Proficiency in one or more of the following languages: Python, Go, Java, C++, or Swift

Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering

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): Seattle, WAJob ID: apple-200625093-3337_rxr-660Employment Type: OTHERPosted: 2026-01-17T19:19:54Apply on company site

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