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QuinStreet

Senior Machine Learning Engineer – Ranking

QuinStreet

. Design and improve ranking systems through rigorous measurement and experimentation .

Posted 11/4/2026full-timeRemote • United StatesSenior💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and improving ranking systems through measurement and experimentation, with a strong foundation in applied machine learning, statistics, and optimization. Proficient in Python and experienced in building resilient end-to-end solutions while collaborating cross-functionally.

Highest-signal resume keywords
Applied Machine LearningStatisticsPython ProgrammingLarge-Scale DatasetsCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Ranking Systems DesignExperimentationTest DesignOffline/Online AlignmentFeature EngineeringModel CalibrationSoftware Engineering PracticesCI/CDOptimizationData Analysis
Soft Skills
Clear CommunicationOwnership Mindset
Tools & Technologies
Distributed SystemsMonitoring ToolsData Pipelines
Industry Keywords
Machine LearningRecommendationsData ScienceStatistical Analysis

Tech Stack

Tools & technologies
Distributed SystemsPython

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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