Senior ML Engineer – ML Experimentation Portal

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 185,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock programs

Tuition reimbursement

Retirement benefits

Job summary

Apple in Cupertino is seeking a Senior ML Engineer for the ML Experimentation Portal. You will build full-stack applications to simplify experimentation across Ads, transforming complex ML concepts into intuitive interfaces for global teams.

The role requires collaborating with cross-functional partners, designing scalable ML platforms, and supporting online and offline AB testing infrastructure with privacy-conscious, user-centric experiences.

Qualifications

• Industry ML experience with features and models.
• Experience in Ads domain.
• Experience designing intuitive user interfaces and dashboards.

Responsibilities

• Build full-stack ML experimentation portal interfaces.
• Collaborate with cross-functional teams to coordinate dependencies.
• Translate ML concepts into accessible user experiences.
• Support online and offline A/B testing workflows.

Skills

ML experience

Ads domain

ML platforms

Algorithms

UI design

A/B testing

SQL

Observability

Cross-functional

Communication

Fast-paced

Education

Degree in CS/Statistics/Applied Math

10+ years industry experience

Tools

DataDog

Splunk

Job description

Senior ML Engineer – ML Experimentation Portal

Cupertino, California, United States Software and Services

At Apple, we believe in the power of technology to enrich people's lives. Everything we build is designed to empower people, including our advertising platform. We deliver ads in a way that benefits both customers and advertisers — helping people discover content, supporting creators, and protecting and respecting everyone’s privacy. Our technology makes advertising possible on the App Store, Apple Maps, Apple News, Stocks, and Apple TV. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone.The Ads ML Experimentation team is looking for a ML Engineer who can build full-stack applications to help shape the future of how Apple's advertising systems experiment to connect millions of global users to content from publishers and developers. You'll build intuitive interfaces that transform complex statistical concepts and ML workflows into seamless user experiences, making advanced experimentation and AI accessible to teams across Apple Ads. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create simple, intuitive user experiences; they have a keen eye for the details that surprise and delight our customers.

Description

Minimum Qualifications

• Industry experience in ML domain, with experience building features and models
• Experience in Ads domain
• Knowledge of ML platforms/infrastructure, ML fundamentals, and Experimentation fundamentals.
• Strong understanding of data structures and algorithms for optimization
• Experience designing, implementing, and iterating on intuitive user interfaces
• Experience with both online and offline A/B Testing infrastructure and/or methodologies.
• Proficiency with database design and database languages (SQL) to build applications.
• Experience with alerting and observability tools (DataDog, Splunk) to monitor production systems
• Skilled at operating in a cross-functional organization.
• Ability to condense complex concepts and projects into clear, actionable takeaways
• Excellent communication and presentation skills with a curious business attitude
• Desire to work in a fast-paced, challenging environment with cross-functional ownership

Preferred Qualifications

• Education & Experience
• Degree in Computer Science, Statistics, Applied Math or related field.
• 10+ years of industry experience designing, building, maintaining, and extending web-scale production systems.

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 $184,700 and $277,600, 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.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.