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.
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.
| Title | Stage | AI score |
|---|---|---|
| Manager, Machine Learning Engineering & Data Science, Hyderabad Manager for a team of Machine Learning Engineers and Data Scientists responsible for building, deploying, and operating large-scale ML systems for consumer platforms, including user behavioral modeling, fraud detection, and transaction intelligence. The role involves leading the development of ML platform capabilities across the full lifecycle (pipeline orchestration, experimentation, deployment, observability) and requires hands-on technical depth in designing experiments, architecting scalable ML solutions, and building production-grade systems. | ServeAgent | 7 |
| Senior Data Scientist - Video AI team, Bangalore Senior Data Scientist role focused on building and operating reusable ML services for video understanding, summarization, and classification. The role involves designing and implementing pipelines for training, inference, and evaluation, managing vector search stacks, and optimizing GPU/CPU workloads. Experience with MLOps, model serving, RAG, and computer vision is required. |
| ServeAgent |
| 7 |
| Senior Staff, Software Engineering Senior Staff Software Engineer responsible for designing and delivering software platforms and services that process billions of ad events daily. This role involves setting technical standards, modernizing legacy components into cloud-native services, and ensuring reliable, secure, and cost-efficient delivery of mission-critical capabilities for monetization and decisioning. Key responsibilities include owning large-scale event-driven systems, architecting low-latency services, designing data pipelines, optimizing systems, defining SLOs/SLAs, leading platform modernization, embedding observability, driving cost efficiency, partnering with Data Science to productionize ML models into low-latency services, designing APIs, ensuring privacy-safe data usage, and providing technical leadership and mentorship. | ServeAgent | 5 |
| MLOps Engineer (AWS) MLOps Engineer responsible for building, developing, and maintaining MLOps solutions in AWS, automating ML model deployment, training, and monitoring, and managing ML infrastructure. | Serve | 5 |