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Senior ML Engineer – ML Experimentation Portal

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Apple Inc.
Full Time position
Listed on 2026-10-05
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 184700 - 277600 USD Yearly USD 184700.00 277600.00 YEAR
Job Description & How to Apply Below

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 (Data Dog, 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…

Position Requirements
10+ Years work experience
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