Senior Machine Learning Scientist Ad Campaign Optimization

At Apple we focus deeply on our customers experience. Apple Ads brings this same approach to advertising helping people find exactly what theyre looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services including the App Store Apple News and MLS Season Pass. nnEverything 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 sizesfrom small app developers to big global brands. Because when advertising is done right it benefits everyone. nnWe 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 should have experience developing and implementing machine learning or optimization algorithms ideally within the ads space recommendations or search relevance. You will have an excellent understanding of scalable architectures and thrive working in Agile environments.

In this role you will design and build scalable solutions that enable advertisers to optimize for their campaign goals and performance on the Apple Ads. You will have the opportunity to build the next generation solutions for budget and bid optimization that enable driving optimal campaign performance and advertiser experience. You will have the opportunity to apply your ability to move the state of the art techniques in a fast growing business that positively impacts publishers developers and Apple users at global scale. The ability to be a great teammate under tight deadline constraints is key to success.

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 will drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad 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 will lead the conception development and delivery of state of the art capabilities that differentiate our products and are core to our will work with a variety of cross functional business partners to set strategy and bring end-to-end solutions that scale as we grown.

5 years of experience building machine learning and quantitative optimization capabilities across many different product areas at scalenExperience in machine learning quantitative methods control systems or reinforcement learningnAbility to apply and implement research concepts ultimately in production quality codenExperience defining clear testable research hypotheses including intended impact on the businessnDeep knowledge of design of experiments online experimentation approaches preferably at scalenAbility to formulate and advocate for Ru0026D objectives and results to cross-functional team members including executive business leadership and product managementnExperience contributing and/or reviewing research for top conferences and publicationsnDeep fluency in Java or with Spark Hadoop or other distributed in Machine Learning Statistics Control Theory Forecasting Optimization Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.

Experience in ads optimization recommendations or search relevance optimization is highly preferred nPhD in Machine Learning Statistics Control Theory Forecasting Optimization Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.