Algorithms Engineer
QuinStreet
Algorithms Engineer
QuinStreet
Performance-based digital marketing & lead generation
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:
We bring all this together to deliver truly great results for consumers and brands in the world’s biggest channel.
QuinStreet, Inc. seeks Algorithms Engineer in Foster City, CA.
Duties: Generate analytical insights from data and identify opportunities for improvement in the internal and business KPIs. Apply statistical and Machine Learning tools to improve our ability to identify, analyze, and interpret trends or anomalies and alerts. Produce well engineered software components to implement algorithms, models, and heuristics as directed by manager. Work with teams to understand technical and business challenges and contributes towards defining and improving standards of data collection and analysis to inform modeling and analysis, as well as such other duties as are assigned to you by your manager.
Requires a Bachelor's degree in Computer Science or a related field plus 2 years of experience. Additionally, requires 2 years of experience with: Applied machine learning, statistical learning, mathematical optimization and scalable computing; Supervised and unsupervised learning on large datasets; Building production level code; Computer Science fundamentals and programming; System design; optimization; experimental design. Telecommuting is permitted.
40 hours/week, $129,301.92 - $149,301.92 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 # 37012.
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 and EU/UK Candidate Privacy Notice here.
Performance-based digital marketing & lead generation
QuinStreet operates online marketplaces that connect consumers with brands in insurance, personal loans, credit cards, banking, and home services. It runs performance-based digital marketing campaigns where brands pay only for measured actions like leads or clicks, as defined by Insertion Orders. The company uses segmentation and AI to target consumers and match them with relevant brands, with IOs detailing traffic type, volume, pricing, dates, and criteria. Its goal is to help brands achieve better marketing results and higher ROI by delivering qualified prospects through targeted, outcome-based campaigns.
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