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 a Machine Learning Engineer 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 Applied Machine Learning Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. 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 with teams around the world. Want to learn more about our Data Science Team:
Watch our talk at Amazon Tech Talks:
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
Have deep understanding of algorithm and software design, concurrency, and data structures
Experience in implementing probabilistic or machine learning algorithms
A high GPA from a well-respected Computer Science program
It is informed by market data and the approved budget for this position. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards,



and a comprehensive benefits package.
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.

140,000—$192,500 CAD

Highly competitive salary
Retirement/ 401K/ Pension Savings globally
Competitive Paid time off packages including birthday's off!
Access to a comprehensive mental health care program
Work from home reimbursements
Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
Robust training and onboarding program
Coverage and support of personal development initiatives (conferences, courses, books etc)
An awesome parental leave program
Our social and team events!
In locations where StackAdapt does not have a legal entity, employment and perks are administered in accordance with local regulations and partner policies.
No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt.

Accommodations are available upon request for candidates taking part in all aspects of the selection process. We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. G2 Top Software for 2026
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📌 Machine Learning Engineer (Fully Remote) (Toronto)
🏢 StackAdapt
📍 Toronto