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Sr. Machine Learning Engineer, Advertiser Recommendations – Ad Platforms

Apple

This is a Full-time position in Austin, TX posted August 18, 2021.

At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in the App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. We are seeking a self-motivated individual that will build out the next generation of our ads platforms. Projects range from generating algorithms that drive our auctions to building out relevance, recommendations (search keyword recommendation, bid and budget recommendations, etc.), insights and auto campaign management capabilities to help achieve advertiser goals. You will have the opportunity to develop models that improve our platform across the board, write production code to generate recommendations, 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 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. You should have several years of experience developing and implementing machine learning algorithms, ideally within the ads space. You will have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a good team player under tight deadline constraints is key to success.

Key Qualifications

  • 4+ years of experience building machine learning capabilities across many different product areas at scale
  • PhD in NLP, Machine Learning, Statistics, 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
  • Differentiated, recognized expertise in NLP, forecasting and recommendation systems/search.
  • Demonstrated success mentoring and advising junior team member on quantitative techniques, problem solving approaches
  • Ability to apply and implement research concepts, ultimately in production quality code
  • Experience defining clear, testable research hypotheses, including intended impact on the business
  • Deep understanding of design of experiments, 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

Description

In this role you will work to drive step-change improvements in our outcomes, and formulate our approaches to greenfield product opportunities. You will work end-to-end to bring to bear the product capabilities that unlock those opportunities, from ideation and definition of research hypotheses, to leading execution working with other researchers and engineers. You will: Leverage diversity to fuel innovation Work on unusually complex technical problems, providing solutions that are highly innovative and ingenious, impacting Apple and/or industry Review state-of-the-art research relevant to problems the Ad Platforms Algorithms team is working on, and determine approaches to apply that research to our work Identify opportunities to improve the capabilities we deliver in terms of revenue and profitability, performance, explainability, stability, robustness, etc. Work with team leadership to set research and development roadmap to deliver benefit to Ad Platforms, designing and suggesting improvements across multiple domains Participate and lead Apple internal Data Science & Machine learning interest groups, meet ups, and conferences Communicate at all levels of the company, presenting hypotheses, proposals, and experimental results, and making valuable contributions to the discussion of such contributions from colleagues in internal, Apple wide, and external professional settings Take well-considered risks to find solutions to difficult technical problems Navigate across Apple, pulling in peers where needed and providing valuable expertise across the company In short, you will have the opportunity to apply your ability to move the state of the art in a fast growing business that positively impacts publishers, developers, and Apple users at global scale.

Education & Experience

PhD in NLP, Machine Learning, Statistics, Forecasting, Optimization, Reinforcement Learning or related field

Additional Requirements

Please add your adsense or publicity code here (inc/structure/adsfooter.php)