Algorithms Engineer

Bazeta; Foster City (CA); Hybrid; USD 129,000 - 149,000; Full time

Job summary

QuinStreet is seeking an Algorithms Engineer in Foster City, CA. You will generate analytical insights from data, apply machine learning to improve KPIs, and build production-ready software that implements core algorithms and models.

You will work with teams to refine data collection, modeling standards, and ensure scalable, efficient computation across large datasets in a remote-friendly environment.

Qualifications

• Bachelor's degree in Computer Science or related field plus 2 years of experience.
• 2 years of experience with applied ML, statistical learning, optimization and scalable computing.
• Experience with supervised and unsupervised learning on large datasets and building production code.
• Strong CS fundamentals, programming, system design, optimization and experimental design.

Responsibilities

• Generate analytical insights from data and identify opportunities for KPI improvement.
• Apply statistical and machine learning tools to identify trends or anomalies and alerts.
• Produce well engineered software components to implement algorithms, models, and heuristics.
• Collaborate with teams to define data collection and analysis standards for modeling.

Skills

Applied ML

Statistical learning

Optimization

System design

Experiment design

Education

Bachelor's degree in Computer Science or related field

Job description

# Algorithms EngineerUnited States8 hours agoID 975201Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: QuinStreetLevel: Any## DescriptionPowering 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.