StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.

v=lRqu-a4gPuU StackAdapt is a Remote First company , and we are open to candidates located anywhere in North America for this position. This role will remain open until February 20, 2026 . Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.

What you'll be doing: Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights What you'll bring to the table: Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. Have the ability to take an ambiguously defined task, and break it down into actionable steps Have a comprehensive understanding of statistics, optimization and machine learning Are proficient in coding, data structures, and algorithms Enjoy working in a friendly, collaborative environment with others StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe.

Who You Are

, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt.

Requirements

to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation.