Senior/Staff Machine Learning Engineer

Full Timestaff

Alberta, Canada; British Columbia; Calgary, Alberta, Canada; Ontario; Toronto; VancouverPosted 7 weeks ago

Role Overview

Stackadapt is hiring a Senior/Staff Machine Learning Engineer. This is a full-time role in Alberta, Canada; British Columbia; Calgary, Alberta, Canada; Ontario; Toronto; Vancouver. Part of Stackadapt's Performance Marketing hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

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 Senior and Staff Machine Learning Engineers 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 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.

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
Suggest, implement, and coordinate architectural improvements for big data ML pipelines
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
Ability to follow through complex projects to completion, both by independent implementation and by coordinating others
Have deep understanding of algorithm and software design, concurrency, and data structures
Experience in implementing probabilistic or machine learning algorithms
Experience in designing scalable distributed systems
A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative, tech company
Enjoy working in a friendly, collaborative environment with others

StackAdapter's Enjoy:

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
Health benefits from day one of employment
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)
Access to StackAdapt programmatic courses and certifications to support continuous learning
An awesome parental leave program
A friendly, welcoming, and supportive culture
Our social and team events!

Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.

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.

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.

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:

G2 Top Software for 2026
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising

To learn more about our privacy practices, please see our Privacy Policy.

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About Stackadapt

Stackadapt

stackadapt.com

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Frequently Asked Questions

How do I apply for the Senior/Staff Machine Learning Engineer position at Stackadapt?

Use the Apply button above to submit your application directly to Stackadapt. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior/Staff Machine Learning Engineer position at Stackadapt located?

This position is based in Alberta, Canada; British Columbia; Calgary, Alberta, Canada; Ontario; Toronto; Vancouver. Stackadapt has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior/Staff Machine Learning Engineer at Stackadapt earn?

Stackadapt has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior/Staff Machine Learning Engineer role at Stackadapt posted?

This role was posted on May 19, 2026 (55 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.