Staff Machine Learning Engineer - Matching, Apple Ads

About Apple Ads

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands.

About the Role

You'll have the opportunity to 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, and perform large scale and complex experiments to understand their effects.

You'll 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. You'll develop a deep understanding of the ad network behavior and will work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains.

You'll lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business.

Matching at Ads

Matching at Ads is a critical component of our Ads funnel and responsible for ensuring that we are retrieving relevant and engaging Ads for our users. We are building the next generation of our retrieval systems to sustain the growth of the business for the future.

In this role you will:

• Develop the algorithms for our retrieval system
• Drive step-change improvements in our outcomes, impact our platform revenue and quality of our ads
• 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

Minimum Qualifications

• 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 degree, or equivalent experience, in NLP, Machine Learning, Statistics, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems, or equivalent experience working with large data science / machine learning projects in industry

Preferred Qualifications

• PhD degree, or equivalent experience, in NLP, Machine Learning, Deep Learning, Large Language Model, Reinforcement Learning or related field with experience building production systems, or equivalent experience working with large data science / machine learning projects in industry