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职位Apple

ML Frameworks Engineer, Personalization

Apple

ML Frameworks Engineer, Personalization

Apple

Seattle, WA

·

On-site

·

Full-time

·

2d ago

The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power Search for the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a substantial scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple's outstanding integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and multi-functional, offering greater exposure to the array of opportunities here.

Join the Services AI/ML team and contribute to the development of frameworks that enable exceptional experiences across Apple Services, including the App Store, Video, and Music. Engage with a team of dedicated and creative individuals to achieve bold goals in an environment that fosters continuous curiosity and professional growth. Your contributions will empower teams at Apple to deliver personalized experiences while upholding the company's core values of privacy and data minimization.

Description

As a member of the Personalization ML Platform team, you will be responsible for designing and building machine learning (ML) frameworks and underlying infrastructure that power experiences across various Apple Services. Your work will involve developing frameworks that can run both on the cloud and on devices. Cloud-based frameworks must be scalable to handle billions of requests per day, while device-based frameworks must operate with minimal memory and compute resources. You will collaborate with a diverse team of experts, including ML researchers, Core OS engineers, infrastructure engineers, user interface designers, tools engineers, and technical writers. This dynamic environment encourages lively discussions and the exchange of ideas. Individuals with a broad perspective and a willingness to learn from others will thrive in this multi-disciplinary setting.

Preferred Qualifications

Java, GRPC, KV systems like Cassandra, Message Queues like Kafka

Minimum Qualifications

Applicants will have 5+ years experience in industry as a Software Engineer

Experience with API design and framework development

Proficiency with Swift:

Experience in distributed computing, micro-services architecture and server side technologies.

  • Experience with cloud-native deployment like AWS - Experience with continuous integration and continuous development solutions

  • Applicants will be able to demonstrate creativity, initiative and the ability to work to deadlines.

  • Excellent interpersonal and communication skills - working independently and/or in small teams

  • Passion for building high-quality user experiences with attention to detail

-BS CS or equivalent 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 .

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $210,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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关于Apple

Apple

Apple

Public

Apple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.

10,001+

员工数

Cupertino

总部位置

$3.5T

企业估值

评价

3.9

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.8

职业发展

3.5

管理层

3.2

72%

推荐给朋友

优点

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

缺点

Work-life balance challenges

High stress and pressure

Fast-paced environment

薪资范围

11,365个数据点

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist ICT2

0份报告

$121,979

年薪总额

基本工资

-

股票

-

奖金

-

$103,682

$140,276

面试经验

3次面试

难度

3.3

/ 5

时长

28-42周

录用率

33%

体验

正面 33%

中性 0%

负面 67%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience