招聘

AIML - Triage Engineer, Machine Learning Platform & Technologies
Santa Clara, CA
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Flexible PTO policy
•Health, dental, and vision coverage
•Wellness benefits
•Learning and development stipend
•Annual team offsites
•Top Tier compensation with equity
Required Skills
SQL
TensorFlow
Python
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Apple
AIML - Triage Engineer, Machine Learning Platform & Technologies
3 weeks ago• Santa Clara, CA
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:
At Apple, we believe true innovation happens when we stand at the intersection of technology and the humanities. The AIML Information Intelligence team is building groundbreaking technology in search, machine learning, and artificial intelligence that powers experiences like Siri, Spotlight, Safari, and beyond. These features empower hundreds of millions of people to use their devices not only to search, discover, and learn, but to ultimately enrich their lives in meaningful ways.
As part of this group, you'll collaborate with software developers, machine learning engineers, and scientists across technical areas spanning the full range of Siri's capabilities. Here, you'll do more than join a team-you'll have a front-row seat and the opportunity to directly impact Apple's mission to bring AI features and products to billions of devices.
Description:
- As a Triage Engineer, you'll be the first line of defense for incoming bugs. You'll dive into logs, identify patterns, and escalate critical issues across cross-functional teams. Through this process, you'll develop encyclopedic knowledge of our AI systems and frameworks
- Spanning from server side architecture to on-device components. Information Intelligence team manages Search, a framework that powers millions of experiences daily. This roles requires someone who thrives on solving puzzles, has a genuine curiosity about how AI systems works and can synthesize complex issues into clear and actionable insights.
Preferred Qualifications:
Previous experience in debugging, analyzing system logs, or crash reports
Experience with machine learning systems, AI technologies, or voice assistants.
Familiarity with macOS, iOS, or other Apple platforms and developer tools.
Familiarity with python and shell scripting
Minimum Qualifications:
Excellent written, verbal communication skills and an ability to work cross-functionally.
Strong analytical and problem-solving mindset, with great attention to details.
Bachelors in Computer Science, or equivalent work 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 .
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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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