Senior/Staff Applied Machine Learning Scientist

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 are searching for a talented Senior/Staff Applied Machine Learning

Scientist to 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.

Want to learn more about our Data Science Team:

https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/

[https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/]

Learn more about our team culture here:

https://www.stackadapt.com/careers/data-science

[https://www.stackadapt.com/careers/data-science]

Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch? v=lRqu-a4gPuU

[https://www.youtube.com/watch? v=lRqu-a4gPuU]

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 experience

* Have 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 steps

* Have a comprehensive understanding of statistics, optimization and machine

learning

* Are proficient in coding, data structures, and algorithms

* 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

[https://www.stackadapt.com/resources/blog/g2-2026-best-software-awards]

2026 Best Workplaces™ for Young Talent

[https://www.greatplacetowork.ca/en/bestworkplaces/best-workplaces-for-young-talent/2026]

and in Canada

[https://www.stackadapt.com/resources/blog/great-place-to-work-best-workplaces-canada-2026]

by Great Place to Work®

#1 DSP on G2 and leader in a number of categories including Cross-Channel

Advertising

[https://www.stackadapt.com/resources/blog/best-cross-channel-advertising-platform]

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

[https://www.stackadapt.com/legal-document-centre/website-and-platform-user-privacy-policy].

#LI-REMOTE