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AIML - iOS Software Engineer, Answers, Knowledge & Information (AKI)
Santa Clara, CA
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Annual team offsites
•Parental leave program
•Remote work flexibility
•Learning and development stipend
•Flexible PTO policy
Required Skills
Python
TensorFlow
Apache Spark
AIML - iOS Software Engineer, Answers, Knowledge & Information (AKI)
3 weeks ago• Santa Clara, CA
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
The Answers, Knowledge, and Intelligence team is seeking a software engineer to build and maintain core infrastructure powering on-device search technologies across Apple's ecosystem. In this role, you'll collaborate with world-class teams in machine learning, natural language processing, and platform infrastructure to deliver private, fast, and intelligent user experiences. Your work will directly impact how users interact with information across i Phone, i Pad, Mac, and more.
Join us and help shape the future of on-device intelligence at Apple, where performance, Description
As an Infrastructure Engineer on our team, you will play a critical role in supporting the on-device foundation for Apple's search capabilities. You'll contribute to scalable, modular, and
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Key responsibilities include:
-
Designing and maintaining robust infrastructure for on-device search systems.
-
Building durable and reusable components with long-term evolution in mind.
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Collaborating across teams to adapt and optimize ML/NLP technologies for Apple's software stack.
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Ensuring user We value engineers who are passionate about infrastructure, enthusiastic about cross-functional collaboration, and motivated by the challenges of working at scale!
Preferred Qualifications:
Experience developing for Apple platforms
Familiarity with profiling tools and performance optimization techniques
Background in search, indexing, or natural language processing technologies
Experience working on
Minimum Qualifications2+ years of experience in Swift, Objective-C, or C++
Experience designing and maintaining CI/CD pipelines
Strong scripting skills in Python, Bash, or similar
Proficiency in automating workflows and deployment tasks
Capable of analyzing and debugging large-scale systems and datasets
Bachelor's degree in Computer Science or equivalent practical experience
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): Santa Clara, CA
Job ID: apple-200614881-3760_rxr-660
Employment Type: OTHER
Posted: 2026-01-07T19:12:52
Apply 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
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
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$114,215
total / year
Base
$45,686
Stock
$57,108
Bonus
$11,422
$79,951
$148,480
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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