Software Engineer-Machine Learning, Performance Targeting & Optimization

Quantcast helps create a more personalized digital world. We have built one of the world’s most sophisticated data-intelligence platforms, using big data and machine learning to solve the biggest challenges in marketing and create more rewarding experiences across the digital landscape.

We are looking for top-tier talent to help lead our efforts in designing, implementing and operating large scale ML systems in a production environment. You’ll work within a machine learning group that is obsessed with improving the state of the art in performance advertising. You’ll take full ownership of the development and operation of ML systems to run advertising campaigns at a global scale. You’ll also introduce new products aimed at providing a complete targeting solution for our advertisers. The team also works closely with our scientific advisors, Stanford professors Jerome Friedman and Trevor Hastie. As leaders in the fields of data mining and statistics, both professors take an active interest in Quantcast and our ongoing work.

* Design, build and operate large scale machine learning systems and supporting infrastructure * Develop techniques to efficiently extract meaning from petabytes of data * Improve existing ad targeting products and introduce new end-to-end products to delight our customers * Interface with Product & Business Operations teams to translate business requirements into robust and scalable solutions

* B.S. in Computer Science or related technical field with 5+ years of relevant industry experience OR M.S. in Computer Science or related technical field with 1+ years of relevant industry experience, or Ph.D. in Computer Science or related field * Experience in one or more machine learning areas preferred (e.g. classification, control theory, optimization, clustering, recommendation systems) * Fluency in Java, C++ or similar object oriented programming languages * Experience in scripting language preferred (e.g. Python, Ruby, Perl) * Experience in Distributed Computing / MapReduce, key value stores like HBase