
501 - 1000 employees
🛍️ eCommerce
📣 Marketing
💰 Venture Round on 2007-03
eCommerce • Marketing
QuinStreet is a pioneer in powering decentralized online marketplaces that connect searchers and consumers looking to research and compare options with brands. Operating one of the nation's largest media networks, QuinStreet utilizes its industry-leading segmentation and AI-driven matching technologies to help consumers discover better solutions and enable brands to effectively target in-market customer prospects with precision. With over 20 years of experience and a focus on performance marketing, their campaign-results-driven decision engines are designed to deliver measurable and optimized results for both consumers and brands.
🔥 12 hours ago
🇺🇸 United States – Remote
💵 $140k - $170k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on QuinStreet's careers page, not through a job board
First seen by Remote Rocketship 12 hours ago
Still open on QuinStreet's site. Checked 1 hour ago.

501 - 1000 employees
🛍️ eCommerce
📣 Marketing
💰 Venture Round on 2007-03
eCommerce • Marketing
QuinStreet is a pioneer in powering decentralized online marketplaces that connect searchers and consumers looking to research and compare options with brands. Operating one of the nation's largest media networks, QuinStreet utilizes its industry-leading segmentation and AI-driven matching technologies to help consumers discover better solutions and enable brands to effectively target in-market customer prospects with precision. With over 20 years of experience and a focus on performance marketing, their campaign-results-driven decision engines are designed to deliver measurable and optimized results for both consumers and brands.
• Design and improve ranking systems through rigorous measurement and experimentation • Translate broad goals into clear metrics and deliver steady, validated gains • Advance evaluation practices, including clean test design and offline/online alignment • Build high-value signals and features with reliable offline/online pipelines and robust monitoring • Incorporate content understanding signals such as text, image, and metadata • Make uncertainty-aware decisions and handle drift and calibration so models remain stable and trustworthy • Partner with Engineering, Product, Business, and Analytics to ship resilient end-to-end solutions
• Advanced degree (MS/PhD) in CS, Statistics, or related field, with 3+ years post-PhD or 5+ years industry experience • Strong foundations in applied ML, statistics, and optimization with demonstrated impact in ranking/recommendations • Proficiency in Python and solid software engineering practices (testing, CI/CD) • Experience working with large-scale datasets, distributed systems, and latency-sensitive production ML • Clear communication, cross-functional collaboration, and an ownership mindset
• Performance bonus or commission • Equity in the form of restricted stock units • Health care benefits • Retirement benefits • Paid sick leave • Parental leave • Paid time off or vacation benefits • Other tax-reportable benefits
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