Senior Machine Learning Manager – Ads Signals Intelligence

Senior Machine Learning Manager – Ads Signals Intelligence

Requirements

• 7+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets.
• Strong analytical skills, ability to investigate multiple streams of ad quality data, draw insights, and recommend actionable solutions.
• Experience in one or more of the following domains: Algorithms, Architecture, AI, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, Quantitative Analysis, or Systems Software implementation.
• Deep mathematical understanding of modern ML techniques, including linear algebra and statistics.
• Hands-on experience with Python or Java in a production environment.
• Proficiency in databases, SQL, and scripting languages for data processing and model deployment.
• Track record of leading engineering teams from design to implementation, ensuring scalability and reliability.
• Experience working with operational teams on deployment, monitoring, and system management.
• BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.

Responsibilities

• Define and implement the strategy for signals intelligence, ensuring its effective application across Apple Ads.
• Leverage innovative research and technology, including LLMs (and distilled versions) for text understanding, NLS for search queries and app comprehension, and multimodal data to integrate insights from text, creatives, and engagement-based signals.
• Develop a comprehensive strategy for constructing and using a knowledge graph for apps, enabling better understanding of relationships between apps, queries, user behavior, and engagement signals.
• Design and analyze sophisticated algorithms to extract meaningful patterns from vast data sources.
• Develop privacy-friendly, on-device representations of signals that can be optimally used while maintaining Apple’s high privacy standards.
• Collaborate with cross-functional teams to identify common patterns in signal utilization and optimize ad performance at the user, campaign, and app levels.
• Execute and analyze large-scale experiments to drive continuous improvements in ad effectiveness.
• Work closely with Engineering and Business teams to scale innovations, improving user experience and monetization potential across Apple’s advertising platform.
• Operate at utmost scale, ensuring efficient and reliable model deployment and execution.
• Develop and implement ad algorithms, yield optimization solutions, and marketplace data analyses within an ad network.
• Architect and scalable intelligence systems, addressing operational concerns and performance optimizations.

Preferred Qualifications

• 10+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets.
• MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.