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A leading marketing technology company is seeking a Machine Learning Engineer for their Data Science team in Canada. The role involves designing scalable infrastructure for real-time data pipelines, collaborating with engineers, and developing custom ML tooling. Candidates should have a strong background in algorithm design and a high GPA from a respected CS program. The company offers competitive pay, health benefits from day one, and a supportive work culture that values diversity and inclusion.
Canada
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're looking to add aMachine Learning Engineer, Infrastructure to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co‑Founder on developing big data machine learning infrastructure and pipelines. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.
StackAdapt is a Remote First company, and we are open to candidates in various of our operating locations throughout the globe!
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter 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. If you have any requests or 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. We've been awarded:
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