Who We Are
Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world’s most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland.
Who We Hire
Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn’t stop to ask what’s next, because they’re already building it.
Who We Are
Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world’s most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland.
Who We Hire
Techies who want to build the future. Creatives who want to design it better.
Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn’t stop to ask what’s next, because they’re already building it.
Our Laurels
Title: Staff Machine Learning Engineer
Job Type: Permanent, Remote
Job Location: Dublin, Ireland
The Opportunity
The Team: The Machine Learning Engineering (MLE) team at Kargo bridges the gap between data science, engineering, and production deployment. Our mission is to design, deploy, monitor, and maintain scalable machine learning and optimization systems that directly contribute to the business’s revenue objectives. Collaborating closely with Data Science, Product Management, and Business stakeholders, we focus on delivering robust solutions that optimize auction dynamics (e.g., bid pricing, pacing), ensure accurate predictions of advertising outcomes (CTR, viewability, etc.), and enable advanced recommendations for advertising content (audience targeting and contextual matching).
The Role: The Staff Machine Learning (ML) Engineer will play a crucial role in designing, developing, deploying, and maintaining machine learning models. This individual will work closely with cross-functional teams to ensure the seamless integration of ML solutions into our advertising technology platform. The position requires strong hands-on experience, technical skills, and a deep understanding of machine learning principles and best practices.
The Daily To-Do
Qualifications :
Follow Our Lead
Our Laurels
Follow Our Lead
Kargo creates memorable experiences for advertisers that go beyond the first impression to captivate consumer attention. With its suite of exclusive omnichannel advertising solutions, Kargo helps leading brands drive meaningful customer connections across mobile, social, CTV and the open web. With a focus on performance, Kargo helps the world’s largest advertisers achieve incremental brand lift and higher returns on ad spend. For publishers, Kargo’s proprietary platform maximizes revenue per impression through unique creative and targeting solutions.
The key to our success is our people. We’ve built a community that values teamwork, is not afraid to take chances and relentlessly strives to disrupt the industry and stand out from the crowd. Diversity is fundamental to the Kargo culture as we celebrate and embrace our differences in our inclusive workplace. Founded in 2003, Kargo is headquartered in New York with offices across the globe.
