We are looking for an ambitious individual who can thrive in an Agile environment. You will develop and apply advanced techniques and algorithms to improve an ad network. Youll be developing and implementing new optimization and advertising algorithms. The position also involves developing a keen understanding of the ad network behavior; detecting meaningful data patterns; assuring the integrity and breadth of the data; measuring user, campaign and app performance; and finally analyzing the results of extremely large-scale experiments.
You will apply advanced statistical methods and work with large, complex data sets.
Participate investigations into multiple streams of ads quality data (Ability to draw conclusions from data and recommend actions).
You have research experience in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics (game theory, auction theory, quantitative analysis), or Systems Software implementation of new algorithms and data aspects of an audience ad network in Python and Java.
You will propose, design and analyze new algorithms to benefit the network.
Proficiency with databases, SQL, and scripting languages.
Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics.
Proven ability to apply statistical techniques to tackle real problems.
Experience with data analysis, business intelligence and statistical tools (e.g. R, SAS, or SPSS).
Ability to take requirements from design through to implementation both independently and with larger teams.
Closely working with operational teams on deployment, monitoring, management concerns
You will have the opportunity to work on a platform with extreme scale requirements. You should have several years of experience developing and implementing ad algorithms, yield optimization solutions and network data processes within an ad network. You have excellent understanding of scalable architectures including operational concerns. You have the ability to be a great teammate under tight deadline constraints is key to success.
BS/MS in computer science or equivalent field with 3+ years relevant experience.
Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
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