Software Engineer II

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it’s like to work at CNN, follow @WBDLife on  Instagram  and  X !

With deep domain expertise, advanced technical capabilities, and a proven track record of successful collaborations, the AI Enablement & Machine Learning team at CNN is accelerating our digital transformation through strategic applications of machine learning and AI technologies. The AI Systems group builds AI-powered applications and systems that solve real problems for CNN's audiences and internal teams. Our work spans consumer-facing features (article summaries, weather summaries), internal AI tooling for editorial, product, design, engineering, and business teams, content and product classification systems, and the AI platform that powers it all — prompt management, evaluation, caching, versioning, deployment, and tenant management. We are held to the high standards our audiences expect from a news organization: reliable, accurate, and trustworthy. Your New Role...  As a Software Engineer II on AI Systems, you will design, build, and operate AI-powered applications and the platform capabilities that support them. You will partner with ML engineers, editorial and product stakeholders, and platform engineers to ship features that improve CNN's user experience and internal productivity. Key challenges you will tackle: LLM-Based Content Understanding:  Build the in-house, LLM-based content understanding capability that replaces a vended classification product — improving quality, expanding adoption to new business domains across CNN, and powering downstream use cases including ad targeting, content routing, and brand safety. Consumer-Facing AI Features:  Ship and iterate on AI-powered features that reach millions of users — article summaries, weather summaries, and the next set of audience-facing experiences — with the accuracy and trustworthiness CNN's audiences expect. AI Platform Maturation:  Grow CNN's AI platform capabilities — prompt management, evaluation, caching, versioning, deployment, and tenant management — so that AI features across CNN can be built, tested, and operated reliably and efficiently. Internal AI Tooling:  Build AI-assisted workflows for editorial, product, design, engineering, and business teams that drive measurable productivity gains.

Accountabilities…   Author, test, review, and optimize production-quality code, following best practices for IaC, version control, and continuous delivery with minimal oversight Be a subject matter expert in one or more AI Systems production systems, independently shipping high- quality features and helping others understand complex technical domains Provide technical input during design of components and systems architecture, driving technical decisions that create functional-level impact Integrate ML models and foundation models into production applications with appropriate guardrails, monitoring, and evaluation Solve business problems with