Roles & Responsibilities We’re looking for a Staff Software Engineer for our MLOps Platform to join the AI/ML organization, focusing on supporting applications of AI to videos. The team is in charge of generating closed captions, translations to generate subtitles and other capabilities that are required to make WBD content truly global. In this role, you will help build a robust, scalable platform that enables the training, deployment, and observability of machine learning models for video understanding, and classifications. You will drive platform architecture, lead critical components, and work across teams to establish engineering excellence in the ML infrastructure layer. Design and lead the development of core components of the machine learning platform with a focus on scalability, reliability, and cloud-agnostic principles Build APIs and microservices that power end-to-end machine learning workflows, including model deployment, orchestration, and observability Collaborate with content protection and security teams to ensure robust access controls and compliance Own cloud infrastructure and CI/CD automation using Infrastructure-as-Code (IaC) principles Champion engineering excellence through well-tested code, clear documentation, and continuous improvement of development and deployment practices. Establish and enforce best practices in testing, code quality, and monitoring for ML pipeline components Work closely with AI engineers and product managers to support evolving use cases like scene segmentation, video annotation, clip generation, and metadata enrichment What to Bring 9-12 years of software engineering experience building scalable backend systems Deep experience with cloud platforms (AWS, GCP); ability to design for cloud-agnostic deployment Experience working with production deployment of machine learning systems Proficiency in Python and experience in JS framework, with strong software design and architecture skills Proven experience implementing and managing CI/CD workflows. Familiarity with Agile development practices and a strong operational mindset Experience in building and maintaining observability stacks (e.g., Prometheus, Grafana, OpenTelemetry) Experience collaborating in a cross-functional team and setting engineering standards at scale What We Offer: A Great Place to work. Equal opportunity employer Fast track growth opportunities

About Warner Bros. Discovery

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world’s most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines WarnerMedia’s premium entertainment, sports and news assets with Discovery’s leading non-fiction and international entertainment and sports businesses. ****Please be aware of recruitment scams by individuals posing as employers and encouraging candidates to apply for, interview and/or accept nonexistent job opportunities as a means to solicit personal information or money. The online scammers have become much more sophisticated in their attempts to lure victims. Employment opportunities and job offers at Warner Bros. Discovery will always come from our Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. WBD does not extend job offers via email or on any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @wbd.com