Full-Time

Machine Learning Engineer

Posted on 8/23/2024

QuinStreet

QuinStreet

501-1,000 employees

Digital marketing and online marketplace management

AI & Machine Learning
Financial Services

Compensation Overview

$120k - $160kAnnually

+ Performance Bonus + Commission + Equity (Restricted Stock Units)

Junior, Mid

Remote in USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
Requirements
  • 2+ years’ experience in software development
  • MS in Computer Science or related area, or relevant work experience
  • Deep experience in applied machine learning, statistical learning, mathematical optimization and scalable computing
  • Experience with both supervised and unsupervised learning on large datasets
  • Succeed as an individual but to collaborate and strive for the success of your team
  • Strong sense of ownership in everything you build
  • Strong experience building production level code (Python is a plus)
Responsibilities
  • Use your expertise in machine learning and statistical learning techniques such as classification and regression to produce models applicable to pricing and targeting.
  • Apply mathematical optimization techniques to solve network problems.
  • Experiment and build models that improve the capabilities of our marketing platform and allow for increases in yield.
  • Work with our Engineering and Business teams to implement scalable, reliable and useful solutions for our various business units.
  • Run numerous experiments in a fast-paced, analytical culture so you can quickly learn and adapt to your work.
  • Get the satisfaction of knowing that you helped connect millions of visitors to our affiliates and internal properties to the products and services they are searching for.

QuinStreet creates and manages online marketplaces that connect consumers with brands offering specific products or services. Operating in sectors like insurance, personal loans, credit cards, banking, and home services, QuinStreet uses advanced segmentation and AI technologies to efficiently match consumers with the right brands. The company follows a performance-based business model, where brands pay only for measurable results such as leads or clicks, outlined in detailed agreements called Insertion Orders. This model allows clients, primarily in financial and home services, to receive highly targeted customer prospects, leading to improved marketing outcomes and higher ROI. QuinStreet's expertise in digital media positions it as a valuable partner for brands aiming to enhance their online presence and customer acquisition efforts.

Company Stage

IPO

Total Funding

$38.9M

Headquarters

Foster City, California

Founded

1999

Growth & Insights
Headcount

6 month growth

1%

1 year growth

3%

2 year growth

9%
Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven personalization enhances customer engagement and conversion rates for QuinStreet.
  • Voice search optimization offers expansion opportunities for QuinStreet's services.
  • Blockchain integration could enhance QuinStreet's credibility and client trust.

What critics are saying

  • Increased competition may erode QuinStreet's market share in key sectors.
  • Selling the higher education vertical may reduce revenue and market presence.
  • Performance-based revenue models expose QuinStreet to financial risks if campaigns underperform.

What makes QuinStreet unique

  • QuinStreet specializes in performance-based digital marketing across multiple sectors.
  • The company uses AI technologies for efficient consumer-brand matching.
  • QuinStreet's business model focuses on delivering measurable marketing results.

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