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Quinstreet
Actively Hiring
Online performance marketing and lead generation

Algorithms Engineer

Posted: 2 weeks ago• Recruiter recently active
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Programming
Optimization
Statistical Learning
Experimental Design
System Design
Applied Machine Learning
Mathematical Optimization
Large Datasets
Supervised and Unsupervised Learning
Computer Science Fundamentals
Scalable Computing
Building Production Level Code

About the job

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.

About the company

Quinstreet company logo

Quinstreet

Actively Hiring
Online performance marketing and lead generation501-1000 Employees
Learn more about Quinstreet image

Funding

AMOUNT RAISED
$40M
FUNDED OVER
2 rounds
Rounds
IPO
Undisclosed amount
IPO - Feb 2010+1

Perks

Health Benefits
Full Medical, Dental, and Vision Benefits, plus access to our Fitness Center.
Start Your 401(K)
It’s never too early to start saving for the future - you’ll thank us later.
Flexible PTO
We value a healthy work-life balance across the board.
Commuter Benefits
Big on public transportation? Enroll in our Transportation Savings Account! Commuting doesn’t have to be a headache on the QuinStreet Team.
QuinStreet Clubs & Events
There’s always something fun going down at QuinStreet – plus, free snacks!
Competitive Salaries
When it comes to digital marketing, our salary and bonus plans truly stand out.