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AIML - Senior Machine Learning Engineer, Machine Learning Platform Technologies

Apple

AIML - Senior Machine Learning Engineer, Machine Learning Platform Technologies

Apple

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

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