Powering Performance Marketplaces in Digital Media

QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and “research and compare” consumers with brands. We run these virtual- and private-label marketplaces in one of the nation’s largest media networks.

Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results.

Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.

We believe in:

The direct measurability of digital media. Performance marketing. (We pioneered it.) The advantages of technology.

We bring all this together to deliver truly great results for consumers and brands in the world’s biggest channel.

 

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.

QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law.

Please see QuinStreet’s Employee Privacy Notice here.