refresh

트렌딩 기업

트렌딩

채용

JobsApple

Sr Manager ML Data Operations, Apple Services Engineering

Apple

Sr Manager ML Data Operations, Apple Services Engineering

Apple

San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$181,100 - $318,400

Benefits & Perks

Flexible PTO policy

Learning and development stipend

Remote work flexibility

Health, dental, and vision coverage

Required Skills

PyTorch

TensorFlow

Apache Spark

At Apple, we don't just build products - we build experiences fueled by world-class data. The Human-centered AI team within Apple Services Engineering is looking for a Senior Operations Leader to spearhead complex, multi-stakeholder operations supporting data collection, curation, annotation, and human evaluation efforts across Apple Music, App Store, TV+, Podcasts, and Books.

Description

In this role, you'll own the operational strategy and day-to-day execution for large-scale, multilingual data pipelines, working at the intersection of engineering, privacy, legal, and vendor management. You will drive cross-functional alignment, set clear goals and SLAs, and implement best-in-class processes to deliver high-quality, responsible AI data at scale.

","responsibilities":"Define and execute operational strategies for sourcing, annotating, curating, and evaluating high-quality datasets across Apple media domains.

Lead global day-to-day operations across multiple programs - including people, process, tooling, quality, and risk management.

Own relationships with external vendors and internal partners (legal, procurement, privacy, security), ensuring alignment on contracts, compliance, and deliverables.

Set and track KPIs/OKRs for throughput, SLA, cost, and quality; proactively flag risks and drive course correction.

Develop scalable workflows, QA frameworks, SOPs, and vendor onboarding playbooks for operations enablement.

Partner with ML Engineers and data science teams to deliver production-ready datasets for training, evaluation, and model improvement.

Influence tooling and platform strategy to support automation, visibility, and workflow optimization.

Champion responsible AI practices and data governance throughout the annotation lifecycle.

Mentor operations team members and contribute to team growth and culture.

Preferred Qualifications

Familiarity with human-in-the-loop evaluation, data quality frameworks, and annotation tooling platforms.

Understanding of privacy, security, and compliance considerations in data sourcing and annotation workflows.

Experience with Apple media products or deep interest in music, entertainment, or digital content services.

Experience scaling operations across international vendors and multilingual projects.

Minimum Qualifications

7+ years of experience in data operations, program management, or vendor strategy, with at least 3+ years in a managerial role.

Proven track record leading large-scale, high-throughput data annotation/evaluation programs in AI/ML or media domains.

Proven experience in vendor management: contract negotiations, performance tracking, and conflict resolution.

Strong cross-functional leadership and stakeholder management across engineering, legal, procurement, and product teams.

Experience using dashboards, metrics, and reporting tools to drive operational excellence.

Comfortable working across ambiguous, fast-paced environments with changing priorities and requirements.

BS or MS degree in engineering, science or computer science or equivalent

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 $181,100 and $318,400, 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.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

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