Senior Machine Learning Manager - Ads Signals Intelligence
Apply NowCompany: Apple
Location: Cupertino, CA 95014
Description:
Summary
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 an adventurous and strategic leader to drive innovation in Ads Signals Intelligence! 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's Ad Platforms and driving key business outcomes.
Description
As a Machine Learning (ML) Manager, you'll be responsible for building and scaling a common platform for ads signals intelligence, enabling a deep understanding of key ad entities, including apps, queries, and user context. This intelligence will be used across Apple's Ads ecosystem to enhance Matching, Predictions, Ads Relevance, and overall ad performance.
- 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.
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 an adventurous and strategic leader to drive innovation in Ads Signals Intelligence! 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's Ad Platforms and driving key business outcomes.
Description
As a Machine Learning (ML) Manager, you'll be responsible for building and scaling a common platform for ads signals intelligence, enabling a deep understanding of key ad entities, including apps, queries, and user context. This intelligence will be used across Apple's Ads ecosystem to enhance Matching, Predictions, Ads Relevance, and overall ad performance.
- 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.