Quantcast

Machine Learning Engineer

Quantcast

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $164,700 - $191,400 per year

Job Level

Junior

Tech Stack

JavaPython

About the role

  • At Quantcast, we're redefining what's possible in digital advertising. As a global Demand Side Platform (DSP) powered by AI, we help marketers connect with the right audiences and deliver measurable results across the Open Web.
  • Since our start in 2006, we've pioneered industry firsts—from launching the original measurement platform for digital publishers to presenting the first AI-driven DSP. If you're ready to be part of a dynamic, forward-thinking team that thrives on creating transformative solutions, Quantcast is the perfect place to grow your career.
  • The Modeling team is responsible for Machine Learning (ML) systems at Quantcast. We build and maintain multiple ML products that price millions of bid requests per second in a real-time auction environment to maximize advertiser outcomes. For each bid our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in relevant content.
  • As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces.

Requirements

  • Minimum 1 - 5 years of experience.
  • Fluency in Python, Java or similar programming languages.
  • Strong skills in mathematics and statistics.
  • Working knowledge of ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems.
  • An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering.