Showing 26 - 36 of 36 postings found
Netflix is looking for a highly motivated Engineering Manager to lead a new team in developing foundational Conversion API features to power the future of their advertising ecosystem.
Netflix is seeking a seasoned researcher to lead innovative, zero-to-one product research studies that generate insights to empower business and product decisions across games, advertising, and live events.
Netflix is looking for a seasoned applied Research Scientist to design and develop innovative AI/ML solutions that enhance content discovery and effectively promote media assets to global audiences.
Netflix is looking for a Technical Program Manager with ad tech expertise to drive high-impact cross-functional programs focused on ads decisioning systems and machine learning optimization engines.
Netflix is looking for a Machine Learning Engineer to build end-to-end model deployment and inference infrastructure for real-time ad inventory forecasting and management systems.
Netflix is seeking a Software Engineer 5 to develop advanced ad tech systems and cloud-based applications that power the company's advertising ecosystem and in-house media planning solutions.
We are looking for: Creative Thinking: You are a creative problem solver who can look beyond the numbers to understand the art of storytelling, bringing innovative approaches to how we measure and understand content performance.
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.
Netflix is seeking a Software Engineer to design and build a world-class, in-house ad tech ecosystem that optimizes advertiser outcomes and enhances the member viewing experience.
Netflix is seeking a Machine Learning Engineer to build and scale high-performance advertising systems, including real-time inventory forecasting, ad decisioning models, and programmatic integration infrastructure.
Netflix is seeking an engineering leader to guide the Page Systems Team in developing high-throughput, low-latency backend systems that power core member experience pages like the Homepage and Search.