Machine learning engineer in digital advertising

At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP.

• 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.
• Collaborate with senior scientists and engineers to iterate on ML models and learn industry best practices for high-quality ML products and large-scale systems.
• Write clean, efficient, and maintainable code using industry best practices.
• Participate in code reviews and provide constructive feedback to team members.
• Identify performance bottlenecks and optimise system components for enhanced scalability.
• Keep up to date with developments in machine learning outside the company.
• Receive hands-on mentorship from senior scientists and engineers to help bridge academic concepts with industrial scale.

• Experience: 0-2 years of experience (including internships or significant academic projects) in machine learning or applied statistics.
• Academic Background: A degree in Computer Science, Mathematics, Software Engineering, or an adjacent field.
• Technical Foundation: Fluency in Python, Java, or similar programming languages.
• Analytical Rigor: Strong foundation in mathematics, specifically: probability, statistics, hypothesis testing.
• ML Knowledge: Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs).
• Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).
• Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data structures, and software engineering.

• On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package.