Machine Learning Scientist - Ad Campaign Optimization

Apple • Cupertino, CA

92d

About The Position

At Apple, we strive every day to create products that enrich people’s lives. Apple Ads 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 are seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. You will develop models and systems that improve our platform across the board, develop production code to generate high quality ad recommendations and work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You will also drive strategic outcomes through substantial innovation in 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 product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You will lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business.

Requirements

• 5+ years of experience in machine learning, quantitative methods, control systems, or reinforcement learning.
• Ability to apply and implement research concepts in production quality code.
• Experience defining clear, testable research hypotheses, including intended impact on the business.
• Deep knowledge of design of experiments and online experimentation approaches, preferably at scale.
• Ability to formulate and advocate for R&D objectives and results to cross-functional team members including executive business leadership and product management.
• Experience contributing and/or reviewing research for top conferences and publications.
• Deep fluency in Java or Python.
• Experience with Spark, Hadoop or other distributed frameworks.
• BS, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems.

Nice To Haves

• 3+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale.
• Experience in ads optimization, recommendations, or search relevance optimization is highly preferred.
• MS or PhD, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or equivalent experience working with large data science / machine learning projects in industry.

Responsibilities

• Design and build scalable solutions that enable advertisers to optimize for their campaign goals and performance on Apple Ads.
• Build the next generation solutions for budget and bid optimization that drive optimal campaign performance and advertiser experience.
• Work with cross-functional business partners to set strategy and bring end-to-end solutions that scale.
• Apply state of the art techniques in a fast growing business that positively impacts publishers, developers, and Apple users at global scale.

What This Job Offers

• Number of Employees: 5,001-10,000 employees