QuinStreet is looking to shape how users discover and interact with their marketplace by advancing algorithms for ordering, prioritization, and personalization, and delivering truly great results for consumers and brands in the world’s biggest channel.
Requirements
- 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.
- 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.
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.
Other
- Advanced degree (MS/PhD) in CS, Statistics, or related field, with 3+ years post-PhD or 5+ years industry experience.
- Clear communication, cross-functional collaboration, and an ownership mindset.
- Travel requirements not mentioned
- Visa requirements not mentioned
- Equal opportunity employer, no discrimination 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.
