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Machine Learning Engineer Intern - Fall 2026

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 are searching for a talented Machine Learning Engineer Intern to join our 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.
 
Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/
 
Learn more about our team culture here: https://www.stackadapt.com/careers/data-science 
 
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
 
StackAdapt is a Remote First company, and we are open to candidates located anywhere in Canada for this position.

What you'll be doing:

  • Design modular and scalable real time data pipelines to handle huge datasets
  • Understand and implement custom ML algorithms in a low latency environment
  • Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently

What you'll bring to the table:

  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Have deep understanding of algorithm and software design, concurrency, and data structures
  • Experience in implementing probabilistic or machine learning algorithms
  • Interest in designing scalable distributed systems
  • A high GPA from a well-respected Computer Science program
  • Enjoy working in a friendly, collaborative environment with others

The compensation range listed for this role reflects the expected hourly rate for candidates located in Ontario, Canada. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location.

This range represents hourly rate only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.

Factors Influencing Final Compensation:

  • The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
  • Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.

Ontario Hourly Band

$35 - $55 CAD

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:
 
2024 Best Workplaces for Women and in Canada by Great Place to Work®

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Here at StackAdapt, we strive to break down barriers so everyone can thrive. We are a global company and we must reflect the diverse world we work in. We are committed to building an inclusive workforce that fully represents the many different cultures, backgrounds and viewpoints of our employees, our customers and our communities. 

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