Algorithms Engineer

QuinStreet • Foster City, CA

2d • $133,952 - $145,000 • Remote

About The Position

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.

Requirements

• Bachelor's degree in Computer Science or a related field plus 3 years of experience.
• 3 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees