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.

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 our prediction teams where you will be responsible for creating models to understand our user responses to ads
• Work across several Engineering and Business teams to scale your deliverables and bring an improved user experience and monetization potential to our platform
• Have the opportunity to work on a platform with extreme scale requirements
• Develop and implement ad algorithms, yield optimization solutions, and marketplace data analyses within an ad network
• Have excellent understanding of scalable architectures including operational concerns
• 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
• Develop a deep understanding of the ad network behavior, and work with business and engineering leadership to develop and prioritize an innovation roadmap across multiple technical domains
• Lead the function that conceives of, develops, and delivers state-of-the-art capabilities that differentiate our products and are core to our business

Minimum Qualifications:

• 7+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets
• Actively participate in investigations into multiple streams of ads quality data, and draw conclusions from data, recommend actions
• 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
• Develop and lead teams who develop in Python or Java
• Familiar with databases, SQL, and scripting languages
• Proven ability to take requirements from design through to implementation both independently and with larger teams
• Enjoy working closely with operational teams on deployment, monitoring, and management concerns
• 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

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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

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.

Apple accepts applications to this posting on an ongoing basis.