Quick overview
Job description
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.
Job Category
Join us to shape how users discover and interact with our marketplace. You’ll 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.
Responsibilities
- Design and improve ranking systems through rigorous measurement and experimentation; translate broad goals into clear metrics and deliver steady, validated gains.
- Advance evaluation practices (clean test design, offline & online alignment) and help teams make evidence-based decisions.
- Build high-value signals and features with reliable offline/online pipelines and robust monitoring. Incorporate content understanding signals such as text/image/metadata.
- Make uncertainty-aware decisions; handle drift and calibration so models remain stable and trustworthy over time.
- Partner with Engineering, Product, Business and Analytics to ship resilient solutions end-to-end.
Requirements
- 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.
Preferred
- Demonstrated success in delivering production-grade ranking systems with measurable business impact.
- Track record building feature/signals pipelines, feature stores, and observability for ML systems.
- Depth in experimentation and metrics design, including large-scale A/B testing and variance reduction.
- Familiarity with monitoring, calibration, concept drift detection, and adaptive or online learning.
- Proficiency in SQL is desired.
- Knowledge about Linear Algebra, Combinatorial optimization is desired.
- Proficiency in scalable software design and development.
- Exposure to multimodal signals (text/image/metadata) is a plus, not required.
The 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 Company’s compensation practices. The salary may be adjusted based on applicant's 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 Company’s standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits.
#LI-REMOTE
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.
Similar jobs
- CO

Forward Deployed Engineer, InferenceRecently posted Auto Apply
Cohere · United States · On-site 🇺🇸
GCPAWSC+++6EngineeringSalary not listed - WA

Staff/Sr. Staff Machine Learning Engineer - World Modeling, SimulationRecently posted Auto Apply
Waymo · Mountain View · Hybrid 🇺🇸
RoboticsCUDAComputer Vision+5Technology$213k/yr - VU

Principal Machine Learning Engineer, Recommendations Auto Apply
Vumedi Inc. · US OAK · Hybrid 🇺🇸
Clinical ResearchLLMPatient Care+3TechnologySalary not listed - TH

Staff Machine Learning Engineer Auto Apply
Thorn · Remote (US-Based) · Remote 🇺🇸
SourcingAWSNLP+16TechnologySalary not listed - SY

Data & AI/ML Engineering Auto Apply
System · New York · Remote 🇺🇸
DockerGCPSQL+8TechnologySalary not listed - RG

Staff Machine Learning Engineer - Central Technology, Anti-CheatRecently posted Auto Apply
Riot Games · Los Angeles · Hybrid 🇺🇸
MySQLETLCompliance+3TechnologySalary not listed - RG

Staff Machine Learning Engineer (Applied Modeling) - League of LegendsRecently posted Auto Apply
Riot Games · Los Angeles · Hybrid 🇺🇸
ComplianceMachine LearningTechnologySalary not listed - RG

Staff Machine Learning Engineer - Unpublished R&D Product Auto Apply
Riot Games · Los Angeles · Hybrid 🇺🇸
MLOpsComplianceC+++6TechnologySalary not listed - RG

Staff Machine Learning Engineer - Game Tech Group, ML Platform Auto Apply
Riot Games · Los Angeles · Hybrid 🇺🇸
OnboardingMLOpsCompliance+5TechnologySalary not listed - QT
Machine Learning Research Engineer Internship - 2027 [New York] Auto Apply
Quantbot Technologies · New York · Hybrid 🇺🇸
RustC++PyTorch+3TechnologySalary not listed - PR
Senior Machine Learning Engineer Auto Apply
Protagonist · Washington DC · Hybrid 🇺🇸
DjangoDockerAWS+19TechnologySalary not listed - NU
Senior/Staff Machine Learning Engineer, Sensor Simulation Auto Apply
Nuro · Mountain View · Hybrid 🇺🇸
RoboticsDeep LearningAutonomous Driving+4TechnologySalary not listed
