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AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information

Apple

AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information

Apple

Seattle, WA

·

On-site

·

Full-time

·

2d ago

Do you want to make Siri and Apple products smarter for our users? The Answers, Knowledge & Information team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits of apple intelligence, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more.

In our team, you will be leveraging and improving upon the latest LLM/ML techniques in order to understand queries, rank user intents, rank documents, and generate answers to users' questions. Our team is responsible for training and deploying these models at scale, using the latest advances for online inference optimization.

Description

As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills.

Preferred Qualifications

PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field

Experience in RAG, LLM Reasoning, and LLM Agent

Experience working in a complex organization with multiple collaborators, strong track record in scaling and launching projects in this setting

Minimum Qualifications

MS in Computer Science or related field:

5+ years of industry related experience, working in collaborate environments

Utilizing: Py Torch, Tensor Flow, and JAX for training and deploying deep learning models

Understanding product requirements and then translating them into modeling tasks and engineering tasks

Building machine-learned models for search relevance ranking, query understanding, and summarization

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 $302,200, 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

0

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