Machine Learning Engineer
London
Quantcast
The Quantcast Platform simplifies digital advertising by connecting brands to their audiences using real-time data from over 100M destinations.
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 and is located in London and San Francisco. We build and maintain multiple ML products. We 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.
Founded in 2006 and headquartered in San Francisco, we are a diverse, aligned community with offices across 10 countries worldwide. Join the team that unlocks potential.
Quantcast is an Equal Opportunity Employer.
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 and is located in London and San Francisco. We build and maintain multiple ML products. We 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.
What you'll do:
- 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.
- Write clean, efficient, and maintainable code using industry best practices.
- Collaborate closely with product and platform 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.
Who you are:
- You are a new or recently qualified University graduate with a degree in Computer Science or a related technical field.
- Fluency in Python, Java or similar programming languages.
- Strong skills in mathematics and statistics.
- Exposure to 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.
#LI-SK1
Founded in 2006 and headquartered in San Francisco, we are a diverse, aligned community with offices across 10 countries worldwide. Join the team that unlocks potential.
Quantcast is an Equal Opportunity Employer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Categories:
Engineering Jobs
Machine Learning Jobs
Tags: Classification Clustering Computer Science Engineering Java LLMs Machine Learning Mathematics NLP Python Research Statistics
Perks/benefits: Career development Competitive pay Equity / stock options Health care Salary bonus Startup environment
Region:
Europe
Country:
United Kingdom
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