Cognitiv

HQ
New York
Total Offices: 5
170 Total Employees
Year Founded: 2015

Jobs at Cognitiv

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Recently posted jobs

Artificial Intelligence • Marketing Tech
Lead and grow a team of ML research scientists to design, implement, and deploy deep learning and LLM-based recommender and real-time bidding systems. Provide strategic direction, mentor researchers, contribute hands-on to coding and experiments, collaborate with engineering to enable scalable deployments, and manage project timelines to deliver high-impact research into production.
3 Days AgoSaved
Hybrid
San Mateo, CA, USA
Artificial Intelligence • Marketing Tech
As a Staff Research Scientist, you'll innovate in deep learning for recommendation systems and real-time bidding, directly contributing to advanced ML solutions at Cognitiv.
12 Days AgoSaved
Hybrid
Bellevue, WA, USA
Artificial Intelligence • Marketing Tech
Design, build, and own backend services and APIs in .NET Core on AWS to power ContextGPT integrations. Drive partner and data-center integrations, resolve scaling challenges, improve performance and reliability, and take end-to-end ownership from design through production operations while collaborating with internal teams and external partners.
12 Days AgoSaved
Hybrid
Vancouver, BC, CAN
Artificial Intelligence • Marketing Tech
Lead architecture and long-term direction of a multi-petabyte data platform powering AI-driven advertising. Drive cross-team initiatives across data engineering, ML, and product; improve scalability, reliability, cost-efficiency, and operational excellence; mentor senior engineers and influence platform strategy and modernization.
14 Days AgoSaved
Hybrid
Vancouver, BC, CAN
Artificial Intelligence • Marketing Tech
As a Senior Software Engineer, you'll lead the design and reliability of data systems that link ad visibility to customer purchases, focusing on big data engineering and backend service optimization using C#, ClickHouse, and SQL.
15 Days AgoSaved
Hybrid
Bellevue, WA, USA
Artificial Intelligence • Marketing Tech
Drive research and engineering for production-scale recommendation systems and real-time bidding. Design, prototype, and evaluate deep learning and LLM approaches, build and deploy scalable ML systems, optimize model accuracy and efficiency, and collaborate with cross-functional teams to integrate research into production advertising platforms.