QuinStreet, Inc. seeks Machine Learning Engineer in Foster City, CA.

Duties: Design experiments, collect and analyze user data such as age, gender, location, language, clicks, emails, recency statistics, etc. and organize the data in appropriate data structure. Create predictive models, including classification, regression, neural networks or their combinations, which give the probability that a given user will do something (ex: user will buy something after seeing an ad, etc.). Clean data, organize data, find outliers, dimensional reduction and identify right predictive model. Create casual machine learning models to reduce confounding. Use of expertise in machine learning and statistical learning techniques such as classification and regression to produce models applicable to pricing and targeting. Apply mathematical optimization techniques to solve network problems. Experiment and build models that improve the capabilities of our marketing platform and allow for increases in yield. Work with our Engineer and Business teams to implement scalable, reliable and useful solutions for our various business units.

Requires a Master’s degree in Computer Science, Business Analytics or a related field plus 5 years of related experience. Requires 2 years of experience in the following: software development; applied machine learning; statistical learning; mathematical optimization; scalable computing; building production level code. Telecommuting is permitted.

40 hours/week, $188,885-$200,000 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref #51052.