QuinStreet

Algorithms Engineer

USA, United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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.

QuinStreet, Inc. seeks Algorithms Engineer in Foster City, CA.

Duties: Generate analytical insights from data and identify opportunities for improvement in the internal and business KPIs. Apply statistical and Machine Learning tools to improve our ability to identify, analyze, and interpret trends or anomalies and alerts. Produce well engineered software components to implement algorithms, models, and heuristics as directed by manager. Work with teams to understand technical and business challenges and contributes towards defining and improving standards of data collection and analysis to inform modeling and analysis, as well as such other duties as are assigned to you by your manager.

Requires a Bachelor's degree in Computer Science or a related field plus 2 years of experience. Additionally, requires 2 years of experience with: Applied machine learning, statistical learning, mathematical optimization and scalable computing; Supervised and unsupervised learning on large datasets; Building production level code; Computer Science fundamentals and programming; System design; optimization; experimental design. Telecommuting is permitted.

40 hours/week, $129,301.92 - $149,301.92 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref # 37012.

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.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Algorithms Engineer Technology Mid level full-time

Likely questions

  1. Tell us about work you have done that is close to the Algorithms Engineer role.
  2. How would you approach your first 30 days at QuinStreet?
  3. Which of Algorithms, Engineer and Technology have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Algorithms, Engineer and Technology.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Algorithms Engineer role because I can bring practical experience in Algorithms, Engineer and Technology, learn the team quickly, and contribute to the outcomes QuinStreet needs from this hire.

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