About the position
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 looking for an ambitious individual who can thrive in an Agile environment. You will drive strategic outcomes through substantial innovation programs across multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network. You have, or will develop a deep understanding of the ad network behavior, and will work with business and engineering leadership to develop and prioritize an innovation roadmap across multiple technical domains. You'll lead the function that conceives of, develops, and delivers state of the art capabilities that differentiate our products and are core to our business. We are looking for an exceptional hands-on machine learning (ML) manager who can thrive in a fast-paced environment. In this role you will oversee the strategy and development of our inference models to predict user interaction with our Ads. You'll work closely with Product Management partners to build a roadmap and lead teams to propose, design and analyze new algorithms; detect meaningful data patterns and signals while adhering to our strict privacy policies; measuring user, campaign and app performance; and finally analyzing the results of extremely large-scale experiments. Your ability to be a great teammate under tight deadline constraints is key to success.
Responsibilities
- Lead prediction teams responsible for creating models to understand user responses to ads.
- Work across several Engineering and Business teams to scale deliverables and improve user experience and monetization potential.
- Develop and implement ad algorithms, yield optimization solutions, and marketplace data analyses within an ad network.
- Oversee the strategy and development of inference models to predict user interaction with Ads.
- Collaborate with Product Management partners to build a roadmap and lead teams in proposing, designing, and analyzing new algorithms.
- Detect meaningful data patterns and signals while adhering to privacy policies.
- Measure user, campaign, and app performance.
- Analyze results of large-scale experiments.
Requirements
- 7+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets.
- Experience in investigating multiple streams of ads quality data and drawing conclusions from data.
- Experience in Algorithms, Architecture, Artificial Intelligence, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, or rigorous Quantitative Analysis.
- Practical understanding of the mathematics behind modern machine learning, linear algebra, and statistics.
- Experience developing and leading teams who develop in Python or Java.
- Familiarity with databases, SQL, and scripting languages.
- Proven ability to take requirements from design through to implementation independently and with larger teams.
- Enjoy working closely with operational teams on deployment, monitoring, and management concerns.
- Ability to manage team performance and drive outcomes.
- MS in AI/ML/Mathematics/CS or related field.
Nice-to-haves
- 10+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets.
- PhD in AI/ML/Mathematics/CS or related field.
