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채용Apple

Machine Learning Engineer, Apple Services Engineering

Apple

Machine Learning Engineer, Apple Services Engineering

Apple

Seattle, WA

·

On-site

·

Full-time

·

2w ago

Are you passionate about building extraordinary products and embracing state of art techniques? It's central to all that we do! The goal of the Apple Services GenAI & ML Frameworks team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.

Description:

We work on a wide spectrum of approaches, including foundation modeling, deep learning, model compression, transfer learning, federated learning and more. We work on core machine learning algorithms and models to power personalization in an efficient and scalable manner. We also work on algorithmic approaches to conserve resources when delivering these models to our customers' devices. This position involves a wide variety of skills and innovation. This is a rare opportunity that sits at the state of the art of machine learning and software!

Preferred Qualifications:

PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.

Minimum Qualifications:

BS/MS in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.

Proficient programming skills in Python

Hands-on experience working with deep learning toolkits such as Jax, Tensorflow or Py Torch

Proven track record in training or deployment of large models or building large-scale distributed systems

Deep understanding of Deep Learning and Large Language Models (LLMs)

Natural Language Processing:

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 $171,600 and $258,100, 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.

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Apple 소개

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+

직원 수

Cupertino

본사 위치

$3.5T

기업 가치

리뷰

3.9

10개 리뷰

워라밸

2.5

보상

4.2

문화

3.8

커리어

3.5

경영진

3.2

72%

친구에게 추천

장점

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

단점

Work-life balance challenges

High stress and pressure

Fast-paced environment

연봉 정보

11,365개 데이터

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist ICT2

0개 리포트

$121,979

총 연봉

기본급

-

주식

-

보너스

-

$103,682

$140,276

면접 경험

3개 면접

난이도

3.3

/ 5

소요 기간

28-42주

합격률

33%

경험

긍정 33%

보통 0%

부정 67%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience