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StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game ads and digital out-of-home ads. We empower thousands of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.
We're looking to add Senior Machine Learning Engineer, Mobile App User Acquisition to our data science team! This team works on solving complex problems for StackAdapt's mobile in-app advertising platform. You'll be working directly with our data scientists, data engineers, Product & Engineering team 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 North America 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 mobile advertising effectiveness, user acquisition strategies, and ROI using deep ML expertise.
- Own the end-to-end development of mobile-focused production-grade ML models: write efficient, scalable code and collaborate with Data Engineers to deploy and integrate algorithms into live systems, ensuring seamless interaction with MMPs, ad networks, and attribution platforms.
- Drive the prototyping and rigorous testing of innovative algorithms and mobile acquisition data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights, optimizing CPI, LTV, and retention metrics.
What you’ll bring to the table:
- 3+ years of industry experience in data science or machine learning
- A Master’s degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
- The ability to take an ambiguously defined task and break it down into actionable steps, leveraging data-driven insights.
- A comprehensive understanding of statistics, optimization,, and machine learning techniques to drive performance improvements.
- Proficiency in coding, data structures, and algorithms, with hands-on experience working with large datasets.
- Working knowledge of mobile user acquisition strategies and a solid understanding of programmatic advertising, including attribution models, ad exchanges, and bidding dynamics.
- A passion for working in a friendly, collaborative environment, partnering with cross-functional teams to drive business impact.
StackAdapters Enjoy:
- Your Talent Business Partner will include the benefits that are offered in the location indicated
- Here is an example of what it would look like for the US:
- Highly competitive salary
- RRSP/401K matching
- 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
- Access to a comprehensive mental health care platform
- Full benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave policy
- A friendly, welcoming, and supportive culture
- Our social and team events!
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.
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:
Ad Age Best Places to Work 2024
G2 Top Software and Top Marketing and Advertising Product for 2024
Campaign’s Best Places to Work 2023 for the UK
2024 Best Workplaces for Women and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
#LI-Remote
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
