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. Our foundation is built on cutting-edge measurement and consumer analytics, giving our clients the tools they need to drive success in an ever-evolving digital landscape.
Since our start in 2006, we've pioneered industry firsts—from launching the original measurement platform for digital publishers to introducing 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 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
- 3+ 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.
The expected base salary range for this role is $171,700 - $232,300.
At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes eligibility for a performance bonus, equity, and a comprehensive benefits package. Depending on your location, this may include hybrid work flexibility, generous vacation, medical, dental, and vision coverage, and retirement plans. For more details, visit our Careers page and see how we support our team.
A Culture of Belonging.
Since 2006, Quantcast has been making waves in digital advertising from our San Francisco headquarters. With 18 offices across 10 countries, we’re a global team dedicated to fostering a workplace where everyone feels valued, included, and respected. We actively ensure individuals with disabilities receive the accommodations they need to thrive—from the application process to daily work life. If you need assistance, we’re here to help.
Work Your Way.
Flexibility is at the heart of our hybrid work model, allowing you to work from home two days a week and collaborate with your team in the office the rest of the time. Need more freedom? All hybrid employees can enjoy two fully remote weeks each year or, if eligible, apply for our fully remote work program. Your hiring manager will guide you on specifics based on your location and team.
At Quantcast, we don’t just offer a job; we offer a path to grow, thrive, and make a meaningful impact.
