Machine Learning Engineer - Matching, Apple Ads

Apple • Cupertino, CA

74d

About The Position

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. Because when advertising is done right, it benefits everyone! 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 as well as 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.

Requirements

• 7+ years of experience building machine learning capabilities across different product areas at scale.
• PhD, or equivalent experience, in NLP, Machine Learning, Deep Learning, Large Language Model, Reinforcement Learning or related field.
• Experience building production systems or working with large data science / machine learning projects in industry.
• Excellent understanding of scalable architectures.
• Ability to work in Agile environments.
• Strong team player under tight deadline constraints.

Responsibilities

• Develop models that improve the Apple Ads platform.
• Write production code to generate recommendations.
• Work closely with business partners to drive the development of new products.
• Perform large scale and complex experiments to understand their effects.
• Lead the development and application of advanced techniques and algorithms to improve the ad network.
• Develop algorithms for the retrieval system.
• Drive step-change improvements in outcomes and impact platform revenue.
• Formulate approaches to greenfield product opportunities.
• Own end-to-end ideation, development, testing, and productization of algorithms.
• Work with cross-functional teams to ensure feasibility and robustness of new capabilities.
• Present findings across the organization.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees