Machine Learning Engineer (Remote)

Full Time

Alberta, Canada; British Columbia; Calgary, Alberta, Canada; California; New York; Ontario; Seattle; Toronto; Vancouver; WashingtonPosted 2 days ago

Role Overview

Stackadapt is hiring a Machine Learning Engineer (Remote). This is a full-time role in Alberta, Canada; British Columbia; Calgary, Alberta, Canada; California; New York; Ontario; Seattle; Toronto; Vancouver; Washington. Part of Stackadapt's Performance Marketing hiring, posted 2 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Performance Marketing roles is $120k-$155k (based on 88 comparable listings). Many employers share specifics during the interview process or after an initial screen.

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ORBenefitsOnboardingPrivacyStackAdaptAIMarketingPlatform

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 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 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.

StackAdapt is a remote-first company with teams around the world. Our teams work in a fully distributed environment, and we are open to candidates based in Canada and the United States.

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

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

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

Performance MarketingOn-site

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Frequently Asked Questions

How do I apply for the Machine Learning Engineer (Remote) 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 Machine Learning Engineer (Remote) position at Stackadapt located?

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

What does a Machine Learning Engineer (Remote) 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 Machine Learning Engineer (Remote) role at Stackadapt posted?

This role was posted on July 20, 2026 (2 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.