招聘

Senior Machine Learning Engineer, Apple Intelligence Data Platform
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
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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
News & Buzz
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5w ago
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Source: Bloomberg
News
·
5w ago