Machine Learning Engineer

Our confidential client is redefining what's possible in digital advertising. As a global Demand Side Platform (DSP) powered by AI, our client helps 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, our client is the perfect place to grow your career.

The Modeling team is responsible for Machine Learning (ML) systems. 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.

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.

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.

Keep up to date with developments in machine learning outside the company.

Who You Are

1-3 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 $151,300 - $204,700.

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 generous vacation, medical, dental, and vision coverage, and retirement plans. For more details, visit our Careers page and see how we support our team. Please see the Applicant Privacy Notice for details on our applicant privacy policy.

Founded in 2006 and headquartered in San Francisco, our client is a diverse, aligned community with offices across 10 countries worldwide. Join the team that unlocks potential.

Client is an Equal Opportunity Employer

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