Machine Learning Engineering Manager - Ads Recommendations

Job description

At Apple, we strive every day to create products that enrich people’s lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. We're seeking a dynamic and strategic engineering manager to drive innovation in Ads Recommendations. This role requires a deep understanding of Ad network behavior and the ability to develop and prioritize an innovation roadmap that spans multiple technical domains. You'll lead a team that designs, develops, and delivers innovative capabilities, differentiating Apple Ads and driving key business outcomes. Minimum Qualifications: 8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager. Track record of leading machine learning engineering teams from design to implementation, ensuring scalability and reliability. Deep understanding of modern machine learning techniques, statistics, and quantitative optimization. Experience working with operational teams on deployment, monitoring, and system management. Experience running A/B tests and pilots for sales / advertiser-facing applications. Experience building GenAI and agentic systems. Hands-on experience with Python or Java in a production environment. Proficiency in databases, SQL, and scripting languages for data processing and model deployment. BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field. Preferred Qualifications: 5+ years of experience leading teams that apply advanced statistical/ML methods. Previous experience in the online advertising domain is a big plus. MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.