Senior Machine Learning Engineer - Ranking

Posted 4 Hours Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
140K-170K Annually
Senior level
Consumer Web • Digital Media • Marketing Tech • Analytics
The Role
The role involves designing ranking systems, advancing evaluation practices, building features with robust pipelines, and collaborating cross-functionally to deliver solutions.
Summary Generated by Built In

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 Qualifications 

  • 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. 

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.

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.



Skills Required

  • Advanced degree in CS, Statistics, or related field
  • 3+ years post-PhD or 5+ years industry experience
  • Strong foundations in applied ML, statistics, and optimization
  • Proficiency in Python and solid software engineering practices
  • Experience with large-scale datasets, distributed systems, and production ML
  • Clear communication and cross-functional collaboration

QuinStreet Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about QuinStreet and has not been reviewed or approved by QuinStreet.

  • Healthcare Strength Health coverage includes medical, dental, vision, and dedicated mental-health resources alongside an EAP, indicating a solid core benefits foundation. Company materials also cite multiple plan options and ancillary protections like life and disability insurance.
  • Leave & Time Off Breadth Company benefits outline paid company holidays and describe flexible or unlimited PTO practices in some areas. Guidance also references parental and other leaves with remote/flexible work norms supporting time-away usage.
  • Equity Value & Accessibility An Employee Stock Purchase Plan is available with a purchase discount and a lookback feature. This adds an additional wealth-building component accessible beyond base pay and bonus.

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The Company
HQ: Foster City, CA
750 Employees
Year Founded: 1999

What We Do

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 of this together to deliver truly great results for consumers and brands in the world’s biggest channel.

Why Work With Us

We aren’t just in the business of building homes. We’re in the business of building careers. Modernize Home Services, believes in the professional and personal growth of each employee at every career stage. We offer role-specific improvement tools and resources needed to succeed in your current role, and the role you aspire to take on tomorrow.

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