Quantcast

Machine Learning Engineer

• 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.
• Prototype solutions, conduct data analyses to tackle large-scale inference problems, and run ML experiments to test new modeling ideas.
• Write clean, efficient, and maintainable code using industry best practices.
• Work multi-functionally with other teams to develop standard methodologies in model building and validation, and collaborate closely with engineering teams to deliver high-quality ML products.
• Identify performance bottlenecks and optimize system components for enhanced scalability.
• Mentor machine learning engineers to grow their careers and improve their skills, including participating in code reviews and providing constructive feedback to team members.
• Generate and review proposals for further research and development directions.
• Keep up to date with developments in machine learning outside the company.

Staff Machine Learning Engineer

Full-stack Engineer

• Code, test, debug and maintain software applications handling millions of real-time requests per second efficiently.
• Constantly improve development, testing, configuration management, monitoring, and operational tools and processes.
• Work and collaborate closely with cross-functional teams, including product engineering, modeling, and other platform teams, to ensure delivering high-quality software products.
• Profiling and optimizing bidding machines.
• Setting up and running experiments to improve stability, reliability, and bidding performance across the stack.
• Providing tooling for other software engineers to run their servicesParticipating in oncall duties.

Software Engineer

• 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.