Senior Machine Learning Engineer - Ranking

QuinStreet

89d • $140,000 - $170,000

About The Position

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.

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.

Nice To Haves

• 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.

Benefits

• Health care benefits
• Retirement benefits
• Paid days off (paid sick leave, parental leave, paid time off, or vacation benefits)
• Any other tax-reportable benefits

What This Job Offers

• Education Level: Ph.D. or professional degree
• Number of Employees: 501-1,000 employees