Machine Learning Engineer
$192.5k per yearStackAdapt Inc.
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.
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: more about our team culture here: our talk at Amazon Tech Talks: you'll be doing:
Design modular and scalable real time data pipelines to handle huge datasetsUnderstand and implement custom ML algorithms in a low latency environmentWork on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrentlyWhat you'll bring to the table:
Have the ability to take an ambiguously defined task, and break it down into actionable stepsHave deep understanding of algorithm and software design, concurrency, and data structuresExperience in implementing probabilistic or machine learning algorithmsInterest in designing scalable distributed systemsA high GPA from a well-respected Computer Science programEnjoy working in a friendly, collaborative environment with othersThe compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. 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. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.This range represents base salary 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.Canada Base Salary Band: $140,000 CAD - $192,500 CADUSA Base Salary Band: $128,000 USD - $176,000 USDStackAdapter's Enjoy:
Highly competitive salaryRetirement/ 401K/ Pension Savings globallyCompetitive Paid time off packages including birthday's off!Access to a comprehensive mental health care programHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership for those who want a change from their home office and hubs in London and TorontoRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, books etc)Access to StackAdapt programmatic courses and certifications to support continuous learningAn awesome parental leave programA friendly, welcoming, and supportive cultureOur 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, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt.StackAdapt is committed to providing an inclusive and accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require an accommodation, please let us 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 20262026 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 Advertising2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack AwardsTo learn more about our privacy practices, please see our Privacy Policy.
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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.
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: more about our team culture here: our talk at Amazon Tech Talks: you'll be doing:
Design modular and scalable real time data pipelines to handle huge datasetsUnderstand and implement custom ML algorithms in a low latency environmentWork on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrentlyWhat you'll bring to the table:
Have the ability to take an ambiguously defined task, and break it down into actionable stepsHave deep understanding of algorithm and software design, concurrency, and data structuresExperience in implementing probabilistic or machine learning algorithmsInterest in designing scalable distributed systemsA high GPA from a well-respected Computer Science programEnjoy working in a friendly, collaborative environment with othersThe compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. 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. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.This range represents base salary 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.Canada Base Salary Band: $140,000 CAD - $192,500 CADUSA Base Salary Band: $128,000 USD - $176,000 USDStackAdapter's Enjoy:
Highly competitive salaryRetirement/ 401K/ Pension Savings globallyCompetitive Paid time off packages including birthday's off!Access to a comprehensive mental health care programHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership for those who want a change from their home office and hubs in London and TorontoRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, books etc)Access to StackAdapt programmatic courses and certifications to support continuous learningAn awesome parental leave programA friendly, welcoming, and supportive cultureOur 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, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt.StackAdapt is committed to providing an inclusive and accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require an accommodation, please let us 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 20262026 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 Advertising2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack AwardsTo learn more about our privacy practices, please see our Privacy Policy.
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