Senior Machine Learning Engineer - Ranking

QuinStreet

United States

United States

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divh2Senior Machine Learning Engineer - Ranking/h2pPowering Performance Marketplaces in Digital Media/ppQuinStreet 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 nations largest media networks./ppOur 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./ppOur campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience./ppWe believe in:/pulliThe direct measurability of digital media./liliPerformance marketing. (We pioneered it.)/liliThe advantages of technology./li/ulpWe bring all this together to deliver truly great results for consumers and brands in the worlds biggest channel./ph3Job Category/h3pJoin us to shape how users discover and interact with our marketplace. Youll advance algorithms for ordering, prioritization, and personalization. Ranking is a core component which helps users discover ads, balance user satisfaction, business goals, and system health./ph3Responsibilities/h3ulliDesign and improve ranking systems through rigorous measurement and experimentation; translate broad goals into clear metrics and deliver steady, validated gains./liliAdvance evaluation practices (clean test design, offline online alignment) and help teams make evidence-based decisions./liliBuild high-value signals and features with reliable offline/online pipelines and robust monitoring. Incorporate content understanding signals such as text/image/metadata./liliMake uncertainty-aware decisions; handle drift and calibration so models remain stable and trustworthy over time./liliPartner with Engineering, Product, Business and Analytics to ship resilient solutions end-to-end./li/ulh3Requirements/h3ulliAdvanced degree (MS/PhD) in CS, Statistics, or related field, with 3+ years post-PhD or 5+ years industry experience./liliStrong foundations in applied ML, statistics, and optimization with demonstrated impact in ranking/recommendations./liliProficiency in Python and solid software engineering practices (testing, CI/CD)./liliExperience working with large-scale datasets, distributed systems, and latency-sensitive production ML./liliClear communication, cross-functional collaboration, and an ownership mindset./li/ulh3Preferred Qualifications/h3ulliDemonstrated success in delivering production-grade ranking systems with measurable business impact./liliTrack record building feature/signals pipelines, feature stores, and observability for ML systems./liliDepth in experimentation and metrics design, including large-scale A/B testing and variance reduction./li/ulpThe expected salary range for this position is $140,000 USD to $170,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the companys compensation practices. The salary may be adjusted based on the applicants geographic location. The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. This position is eligible to participate in the companys standard employee benefits programs, which currently include health care benefits; retirement benefits; the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); any other tax-reportable benefits./ppQuinStreet 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./p/div

United States

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English

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