Remote Algorithms Engineer - ML & Optimization

The Briefed; Foster City (CA); Remote; USD 129,000 - 149,000; Full time

Benefits offered by this job

Telecommuting allowed

Job summary

QuinStreet, an industry leader in performance marketing, seeks an Algorithms Engineer in Foster City, CA. You will generate analytical insights, apply machine learning to improve KPIs, and deliver production-ready software components implementing algorithms and models.

You will collaborate with cross-functional teams to enhance data collection, modeling, and analysis standards. The role requires a Bachelor's in CS and 2 years of experience in machine learning, optimization, and scalable

Qualifications

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

Responsibilities

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

Skills

Applied machine learning

Statistical learning

Mathematical optimization

System design

Experimental design

Programming

Supervised learning

Unsupervised learning

Education

Bachelor's degree in Computer Science

Job description

QuinStreet, an industry leader in performance marketing, seeks an Algorithms Engineer in Foster City, CA. You will generate analytical insights, apply machine learning to improve KPIs, and deliver production-ready software components implementing algorithms and models.

You will collaborate with cross-functional teams to enhance data collection, modeling, and analysis standards. The role requires a Bachelor's in CS and 2 years of experience in machine learning, optimization, and scalable