Sr. Machine Learning Engineer

We are Quantcast. A global Demand Side Platform (DSP) powered by AI. Rooted in our DNA is a strong foundation of measurement and consumer analytics, enabling us to empower marketers to reach audiences and achieve measurable advertising outcomes across the Open Web. 
Since 2006, Quantcast has consistently set the industry standard by introducing groundbreaking initiatives such as the first measurement platform for digital publishers and the first AI-powered DSP. If you're prepared to be part of an enthusiastic team that crafts cutting-edge solutions, then Quantcast is the ideal place for you.
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 Sr. 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.

Responsibilities

• Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently.
• Run Machine Learning experiments to test new modeling ideas.
• Write clean, efficient, and maintainable code using industry best practices.
• Collaborate closely with engineering teams, to deliver high-quality ML products. Participate in code reviews and provide constructive feedback to team members.
• Identify performance bottlenecks and optimize system components for enhanced scalability.
• Generate and review proposals for further research and development directions.
• Keep up to date with developments in machine learning outside the company.

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.
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The expected base salary range for this role is $171,700 - $232,300.
Ultimately, in determining your offer, we will take into consideration your geographic location, relevant experience and expertise, and other job-related factors. Furthermore, full-time roles are eligible for a bonus, …