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Apple
Apple

Think Different.

AIML - Sr Engineering Program Manager, Apple Intelligence

직무프로덕트
경력리드급
위치Cupertino, Canada, United States
근무오피스 출근
고용정규직
게시1개월 전
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필수 스킬

Machine Learning

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.
AIML PM org is looking for a Senior Engineering Program Manager with a strong track record of leading complex cross-functional programs. As a Senior EPM, you need to have extensive experience in working with cross functional partners to develop software, machine learning models and features for expansion into China. You will also need to have extensive experience to drive consensus via data driven approach among cross functional organizations. You will work with top tier data scientists, engineers, software teams, security, legal, privacy, and other product teams across Apple to help ensure we deliver high quality GenAI powered experiences in China that over 1 billion customers expect and love.

Description:

In this role, responsibilities include but not limited to:","responsibilities":"Create and manage project schedules with clear dependencies, critical path and systematic methodology to communicate status. Manage risks and mitigations, and re-plan as events warrant.

Drive alignment across the organization and between teams to launch and maintain premier Apple software products.

Work with data science, data engineering and research teams to develop data collection and evaluation solutions

Work with privacy, and legal teams to ensure product development delivers delightful user experience and privacy protection.

Work with cross region engineering teams to align priority and drive clarity.

Provide regular program update to leadership.

Preferred Qualifications:

Master's or PhD degree in Statistics, Business Intelligence, Computer Science, other Quantitative Sciences, or related field and equivalent experience

5+ years of experience managing a program management team in AI powered product space, preferably experience in evaluation of MLAI products

Self-sufficient in analyzing and drawing conclusions about the quality and product opportunity from raw and refined product data

Strong problem-solving skills with attention to details

Minimum Qualifications:

8+ years of experience in driving large scale program building machine learning powered products

Excellent program management skills including program structuring and managing multiple work streams interdependently

Have personally orchestrated the delivery of multiple significant client/server software products requiring large organizations (100+)

Strong analytical skills and a curiosity to peel the onion to discover opportunities for impact and better user experience

Capability to work across a large number of teams to enforce process and efficient outcomes in a data-driven environment

Strong verbal and written communication skills, including negotiation, presentation and influence

BS/MS in EE/CS/CE or equivalent

Bilingual, fluent in both Chinese and English

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 $172,100 and $305,600, 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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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

10개 리뷰

3.9

10개 리뷰

워라밸

2.8

보상

4.2

문화

3.6

커리어

3.4

경영진

3.2

72%

지인 추천률

장점

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

단점

Work-life balance challenges

Fast-paced and high-stress environment

Long hours and heavy workload

연봉 정보

11,365개 데이터

Junior/L3

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Product Manager ICT2

0개 리포트

$188,750

총 연봉

기본급

-

주식

-

보너스

-

$160,438

$217,063

면접 후기

후기 3개

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