Apple · 4 hours ago
Machine Learning Engineer - Matching, Apple Ads
Cupertino, CA
Full-time
Onsite
Senior Level
$212K/yr - $318K/yr
7+ years expApple is a technology company that focuses on enhancing customer experience through its advertising services. The Machine Learning Engineer will develop algorithms for the ads retrieval system, driving improvements in platform revenue and ad quality while collaborating with cross-functional teams and adhering to privacy principles.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Develop models that improve our platform across the board
Write production code to generate recommendations
Work closely with business partners to help drive the development of new products
Perform large scale and complex experiments to understand their effects
Drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network
Develop the algorithms for our retrieval system
Drive step-change improvements in our outcomes, impact our platform revenue and quality of our ads, and formulate approaches to greenfield product opportunities
Own end-to-end the ideation, development, testing and productization of these algorithms
Work with complex problems in the ads retrieval space, provide solutions that adhere to Apple’s privacy principles, review and contribute to state of the art in research, work with a variety of cross functional teams to ensure the feasibility and robustness of delivering new capabilities
Present findings across the organization
Qualification
Required
7+ years of experience building machine learning capabilities across many different product areas at scale
Proven experience in NLP, information retrieval and search
Ability to apply and implement research concepts, ultimately in production quality code
Experience defining clear, testable research hypotheses, including intended impact on the business
Deep understanding of design of experiments, online experimentation approaches, preferably at scale
Experience contributing and/or reviewing research for top conferences and publications
Master's, or equivalent experience, in NLP, Machine Learning, Statistics, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry
Preferred
10+ years of experience building machine learning capabilities across many different product areas at scale
PhD, or equivalent experience, in NLP, Machine Learning, Deep Learning, Large Language Model, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase