Senior/Staff Applied Machine Learning Scientist

3 weeks ago


Toronto Montreal Calgary Vancouver Edmonton Old Toronto Ottawa Mississauga Quebec Winnipeg Halifax Saskatoon Burnaby Hamilton Victoria Surrey Halton Hills London Regina Markham Brampton Vaughan Kelowna Laval Southwestern Ontario R, Canada StackAdapt Full time

Senior/Staff Applied Machine Learning ScientistCanadaStackAdapt 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 Senior or Staff Applied Machine Learning Scientist tto join our engineering 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.StackAdapt is a remote‑first company, and we are open to candidates located anywhere in the US or Canada for this position.What you’ll be doing:Lead the creation and optimization of advanced machine learning algorithms—from developing new methods to refining existing techniques—to enhance advertising effectiveness and ROI using deep ML expertise.Own the end‑to‑end development of production‑grade ML models: write efficient, scalable code and collaborate with Machine Learning Engineers to deploy and integrate algorithms into live systems.Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data‑driven insights.What you’ll bring to the table:3+ years of industry experienceHave a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.Have the ability to take an ambiguously defined task, and break it down into actionable stepsHave a comprehensive understanding of statistics, optimization and machine learningAre proficient in coding, data structures, and algorithmsEnjoy working in a friendly, collaborative environment with othersStackAdapter’s Enjoy:Highly competitive salaryRetirement/ 401K/ Pension Savings globallyCompetitive Paid time off packages including birthday’s offAccess to a comprehensive mental health care platformHealth 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 eventsStackAdapt 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 StackAdaptWe’ve been recognized for our diverse and supportive workplace, high performing campaigns, award‑winning customer service, and innovation. We’ve been awarded:Interested in building your career at StackAdapt? Get future opportunities sent straight to your email. #J-18808-Ljbffr



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