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QuinStreet

Algorithms Engineer

Foster City, CaliforniaFrom $149.3kfull-timemidAdded today

About this role

QuinStreet seeks an Algorithms Engineer to develop machine learning solutions and optimization algorithms that power their performance marketing marketplaces. You'll apply statistical and ML techniques to improve business KPIs, build production-level code, and work cross-functionally to enhance data collection and analysis standards.

What you'll do

  • Generate analytical insights from data and identify improvement opportunities for internal and business KPIs
  • Apply statistical and machine learning tools to identify, analyze, and interpret trends, anomalies, and alerts
  • Develop well-engineered software components implementing algorithms, models, and heuristics
  • Collaborate with teams to understand technical and business challenges
  • Define and improve standards for data collection and analysis to support modeling efforts
  • Contribute to system optimization and experimental design initiatives

What they're looking for

  • Applied machine learning
  • Statistical learning and mathematical optimization
  • Supervised and unsupervised learning
  • Scalable computing and distributed systems
  • Production-level code development
  • Computer science fundamentals and programming
  • System design and optimization
  • Experimental design
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QuinStreet

QuinStreet builds digital performance marketplaces that connect consumers with service providers through advanced technology platforms. The company is hiring software engineers, including Java developers, to develop backend systems, APIs, and scalable applications that power their marketplace infrastructure.

Website
quinstreet.com
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Likely interview questions

  • Describe a machine learning project where you deployed a model to production—what challenges did you face and how did you handle them?
  • How have you approached optimizing algorithms or models for large-scale datasets in terms of both accuracy and computational efficiency?
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