Senior/Staff Applied Machine Learning Scientist
StackAdapt
About this role
StackAdapt is seeking a Senior/Staff Applied Machine Learning Scientist to join their remote engineering team. The role involves building and optimizing machine learning algorithms to improve advertising effectiveness, working with scalable production models, and collaborating with engineers. The company values diversity, offers competitive benefits, and is open to candidates across the US and Canada.
Skills
About StackAdapt
stackadapt.comStackAdapt is an AI-powered programmatic advertising platform that helps marketers plan, activate, and optimize campaigns across display, video, connected TV (CTV), audio, native, and DOOH. The platform uses machine learning for bidding and creative optimization combined with audience and contextual targeting, measurement, and attribution to maximize performance and efficiency. Offered as a self-serve platform with managed-service options, StackAdapt integrates with major data and ad‑tech partners and provides reporting and analytics used by leading digital marketers.
Recent company news
Business WireStackAdapt Partners With Experian to Supercharge First-party Data Activation for Advertisers
2 weeks ago
Summit PartnersScaling with Intelligence: StackAdapt’s Data-Driven Approach to Growth
Aug 28, 2025
ADWEEKStackAdapt Named Winner of Inaugural ADWEEK Tech Stack Awards, Capping a Transformative Year
Dec 9, 2025
Radio WorldiHeart, StackAdapt Partner on Programmatic Advertising
Nov 11, 2025
Brand InnovatorsInnovator Insights: StackAdapt’s Ryan Nelsen
3 weeks ago
About StackAdapt
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
Unlock Company Insights
View leadership team, funding history,
and employee contacts for StackAdapt.
Salary
$100k – $150k
per year