Job description

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. 5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale Experience in machine learning, quantitative methods, control systems, or reinforcement learning 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 knowledge 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. Masters 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 PhD 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.

Requirements

Must-haves

5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale
Experience in machine learning, quantitative methods, control systems, or reinforcement learning
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 knowledge 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.

Nice-to-haves

Experience in ads optimization, recommendations, or search relevance optimization is highly preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningjavapython

Platform: apple
Effort: medium