Jobs

AIML - Senior Machine Learning Engineer, Machine Learning Platform Technologies
Seattle, WA
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Top Tier compensation with equity
•Health, dental, and vision coverage
•Wellness benefits
•Learning and development stipend
Required Skills
TensorFlow
Apache Spark
Python
About the Role
We are looking for a Backend Infrastructure Engineer to design and scale privacy-aware scalable search and retrieval systems. You will work on distributed infrastructure, advanced encryption-based data access protocols, and machine learning system integration.
We design and build infrastructures to support features that empowers billions of Apple search users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve crawling, extraction quality, web and knowledge graph data, link selection, freshness, retrieval performance, and many others. You will have the opportunity to work on large-scale, complex systems with cutting-edge cryptographic techniques, directly impacting Apple's efforts to protect user privacy while enabling intelligent experiences.
Minimum Qualifications
- BS, MS, Ph.D. in a related field, or equivalent experience
- Strong coding skills
- Strong background in computer science: algorithms and data structures
- Experience with backend development, code performance tuning and testing
- Experience with cloud services and Kubernetes
- Understanding of performance optimization and scalable data processing
Preferred Qualifications
- Experience with search infrastructure
- Experience with cluster setup / management, monitoring and logging
- Experience with cryptographic or privacy-preserving computation techniques (e.g., homomorphic encryption, secure computation, or related protocols)
- Excellent interpersonal skills able to work independently as well as in a team
- Experience with Information Retrieval, Large Scale Data-Mining and/or Machine learning
Equal Opportunity
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
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