Senior Machine Learning Engineering Manager - Ads Predictions
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 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!
Description
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":"You'll lead our prediction teams where you will be responsible for creating models to understand our user responses to ads
You'll work across several Engineering and Business teams to scale your deliverables and bring an improved user experience and monetization potential to our platform
You'll have the opportunity to work on a platform with extreme scale requirements
You should have experience developing and implementing ad algorithms, yield optimization solutions and marketplace data analyses within an ad network
You have excellent understanding of scalable architectures including operational concerns
You'll 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
Preferred Qualifications
10+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets
Masters or PhD in AI/ML/Mathematics/CS or related field
Minimum Qualifications
7+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets
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You can actively participate in investigations into multiple streams of ads quality data, and draw conclusions from data, recommend actions
You have experience in some of the following domains: Algorithms, Architecture, Artificial Intelligence, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, or other experience with rigorous Quantitative Analysis or Systems Software implementation
Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics
You have experience developing and leading teams who develop in Python or Java
You are familiar with databases, SQL, and scripting languages
Proven ability to take requirements from design through to implementation both independently and with larger teams
You enjoy working closely with operational teams on deployment, monitoring, and management concerns
You actively manage performance of the team reporting to you and take responsibility to drive its outcome
Bachelors in AI/ML/Mathematics/CS or related field
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
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Parental Benefits
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