Warner Bros Discovery currently has 17 active AI-related job listings. The majority of these roles, specifically 76%, are focused on agents. Engineering is the top function across all these positions. The company is primarily hiring in India, with 14 listings, followed by the United States with 2. Frequent tech tags include agent orchestration, model serving, and guardrails, suggesting a focus on deploying and managing AI agents. In the last 30 days, Warner Bros Discovery has added 13 new AI roles, representing a 160% increase compared to the previous 30-day period.
Warner Bros Discovery currently has 12 active AI-related roles in our index. The most common open titles are: MLOps Engineer (AWS), Manager, Machine Learning Engineering & Data Science, Hyderabad, Principal Data Scientist, Senior Design Technologist, Design Systems, CNN, Senior Machine Learning Engineer (Data & Audience Platform Team), Hyderabad. Most positions are in Engineering and Product.
Warner Bros Discovery's active AI hiring is concentrated in: application (42%), agents (42%), serving infrastructure (17%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Warner Bros Discovery is hiring AI talent in: India (7 roles), United States (4 roles), Poland (1 role).
Job postings at Warner Bros Discovery most frequently mention: Machine Learning, Data Governance, Agentic Systems, Data Science, Computer Vision.
In the past 30 days, Warner Bros Discovery has posted 10 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Data Scientist Staff Data Scientist at Warner Bros. Discovery focused on designing and delivering production-grade Gen AI based Media processing systems for language localization (Closed Captioning, Translation, Dubbing). The role involves leading end-to-end ML system design, experimentation, establishing evaluation frameworks, and mentoring a team. Requires 5+ years of experience building production ML solutions and practical knowledge of the ML lifecycle. | AgentServe | 8 |
| Sr. Staff, Data Science & Applied AI Senior Staff Data Scientist & Applied AI role focused on architecting and scaling enterprise Generative AI and agentic AI solutions on AWS and Snowflake. Responsibilities include defining end-to-end solution architectures, translating business challenges into AI patterns, productionizing GenAI applications (copilots, search, summarization), implementing RAG, prompt orchestration, and evaluation frameworks, and establishing responsible AI controls and governance. Requires strong expertise in GenAI application design, agentic systems, cloud AI/ML architecture, and productionization. |
| AgentServe |
| 8 |
| Senior Machine Learning Engineer (Data & Audience Platform Team), Hyderabad Senior Machine Learning Engineer on the Data & Audience Platform team responsible for designing and delivering production ML systems for audience targeting, advertising revenue, subscriber engagement, and retention. This role involves end-to-end development from data sourcing to monitoring, including feature engineering, model training, evaluation, and deployment. Key responsibilities include owning ML products like identity resolution and affinity models, designing scalable feature pipelines, architecting inference pipelines, developing various model types, and championing MLOps best practices. The role also involves using AI-assisted development tools and leveraging platforms like Databricks Genie and Snowflake Cortex. | AgentPost-train | 7 |