Applied Machine Learning Scientist (Remote)

StackAdapt Inc.; New York (NY); Remote; USD 128,000 - 176,000; Full time

Benefits offered by this job

Competitive salary

401K/ Pension

Generous PTO

Mental health care program

Health benefits from day one

Work from home reimbursements

WeWork option

Training & onboarding

Professional development

Parental leave

Job summary

StackAdapt is hiring an Applied Machine Learning Scientist to join our engineering team. You will develop and refine machine learning algorithms for our high-volume ad platform, write production-grade code, and prototype pipelines using real-world data.

We value collaboration and rigorous experimentation across traffic, data storage, and scalability concerns. The role offers a remote-first work setup for North America, with competitive base salary bands for USA/Canada, and a focus on delivering

Qualifications

• Master's degree or PhD in Computer Science, Statistics, Operations Research or related field.
• Ability to take ambiguously defined tasks and break into actionable steps.
• Strong understanding of statistics, optimization and machine learning.
• Proficient in coding, data structures, and algorithms.
• Enjoy working in a friendly, collaborative environment.

Responsibilities

• Innovate ML algorithms to maximize ROI and advertising performance.
• Write production code, collaborating with Data Engineers to implement novel ML algorithms.
• Prototype potential algorithms and pipelines, test with historical data, iterate based on insights.

Skills

Statistics

Optimization

Machine Learning

Coding

Collaboration

Education

MS/PhD in CS/Stats/OR

Tools

Python

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 are searching for a talented 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/Learn more about our team culture here: https://www.stackadapt.com/careers/data-scienceWatch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU

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 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/Learn more about our team culture here: https://www.stackadapt.com/careers/data-scienceWatch 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.

This role will remain open until February 20, 2026.

Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.

What you'll be doing:

• Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods
• Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
• Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights

What you'll bring to the table:

• 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

The 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 CAD

USA Base Salary Band: $128,000 USD - $176,000 USD

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, 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 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 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.