Warner Bros Discovery
Media · Media conglomerate
- HQ
- New York City, US
- Founded
- 2022
- Website
- wbd.com
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 |
| Manager, Machine Learning Engineering Manager of Machine Learning Engineering to lead a team focused on Gen AI for media intelligence and localization (e.g., Closed Captioning, translation, dubbing). Role involves end-to-end system design, experimentation, defining metrics, building ML pipelines, establishing evaluation frameworks, and mentoring a team of applied data scientists and MLEs. Requires experience in ML lifecycle, cloud platforms, and leading software development teams. | Ship |
| 8 |
| Sr. Principal Data Scientist Warner Bros Discovery is seeking a Sr. Principal Data Scientist to operate at the highest technical individual-contributor level, serving as a company-wide authority in advanced Data Science, Machine Learning, and Applied AI. This role focuses on designing, architecting, and delivering complex, business-critical AI systems across content intelligence, audience modeling, personalization, forecasting, optimization, and advertising. The position requires deep hands-on expertise in building production-grade ML systems, setting technical direction, and mentoring senior data scientists, with a strong emphasis on translating advanced science into durable business advantage. | ShipAgent | 8 |
| Principal Data Scientist Principal Data Scientist role focused on architecting, developing, and deploying high-impact machine learning and data science solutions for Warner Bros. Discovery's global businesses. The role involves translating complex business problems into scalable analytical solutions using predictive modeling, optimization, experimentation, NLP, and computer vision. Key responsibilities include leading end-to-end ML model development, implementing MLOps practices for production-grade pipelines, and delivering ML solutions for domains like content performance, audience behavior, search, and metadata enrichment. Experience in Media & Entertainment is a plus, and hands-on exposure to foundation models, LLMs, or generative AI is preferred. | ShipData | 8 |
| Principal, Data Scientist Principal Data Scientist role focused on designing, developing, and deploying advanced data science models for Warner Bros. Discovery's global advertising ecosystem. The role involves ML/AI strategy for forecasting, optimization, personalization, and audience intelligence, with a hands-on approach to embedding machine learning into advertising workflows. Key responsibilities include developing novel models, designing experimentation frameworks, advancing audience intelligence, and optimizing data platforms. Requires 12+ years of experience in applied data science, expertise in various modeling techniques, scalable ML systems, optimization, experimentation, and MLOps. | 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 |
| Sr. Staff, Data Science & Applied AI Senior Staff Data Scientist & Applied AI role focused on architecting and scaling enterprise AI, Generative AI, and agentic AI solutions on AWS and Snowflake. Responsibilities include defining end-to-end architectures, translating business challenges into AI solutions, designing agentic systems with orchestration and guardrails, and collaborating with cross-functional teams for productionization, governance, and innovation. | Agent | 8 |
| Sr. Staff, Data Science & Applied AI Senior Staff Data Scientist & Applied AI role focused on architecting and scaling enterprise AI, Generative AI, and agentic AI solutions on cloud platforms (AWS, Snowflake). The role involves translating business challenges into scalable architectures, designing MLOps/LLMOps patterns, ensuring productionization, and providing technical leadership. Requires hands-on expertise in GenAI application design, RAG, agentic systems, and cloud AI architecture. | AgentServe | 8 |
| Staff Data Scientist (Data & Audience Platform Team), Hyderabad Staff Data Scientist for Warner Bros. Discovery's Max streaming app, focusing on customer growth through ML systems. The role involves researching, designing, and building end-to-end ML systems, contributing to scalable ML solutions, and mentoring junior engineers. Requires strong experience in ML fundamentals, production pipelines, and various ML methodologies like recommendations, causal ML, and RL. | ShipAgent | 7 |
| Staff Machine Learning Engineer - Search Staff Machine Learning Engineer for Search & Personalization at Warner Bros. Discovery, focusing on HBO Max. The role involves leading the design and evolution of ML/AI driven search algorithms, from retrieval and ranking to personalization and experimentation. It requires deep expertise in search/relevance systems, technical leadership, and driving the end-to-end ML lifecycle in a large-scale production environment. | Ship | 7 |
| 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 |
| 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 |
| Principal System Architecture This Principal System Architecture role focuses on defining and driving the architecture for AI-powered and agentic systems within Warner Bros. Discovery's AdTech platforms. The role involves architecting autonomous and human-in-the-loop systems for deployment orchestration, infrastructure lifecycle, and incident response, establishing guardrails for AI adoption, and integrating AI capabilities into core platform layers. The goal is to maximize monetization, enable automation, and deliver premium advertising experiences by re-imagining how systems are built and operated using AI. | Agent | 7 |
| Senior Principal, System Architecture Senior Principal, System Architecture role at Warner Bros Discovery focusing on leading the architecture for critical advertising technology platforms. The role involves defining and driving AI-powered and agentic systems automation for deployment orchestration, infrastructure lifecycle, and incident response. It also requires establishing guardrails for AI adoption, integrating AI capabilities into core platform layers, and driving standardization of agentic workflows. The position emphasizes platform architecture, system engineering, enterprise system evolution, technology strategy, and technical authority, with a focus on modernizing legacy platforms and enabling automation and premium advertising experiences. | Agent | 7 |
| Sr Principal, System Architecture The Senior Principal, System Architecture will lead the architecture for Warner Bros. Discovery's advertising technology platforms, focusing on AI-driven and agentic systems automation to improve scalability, reliability, performance, and cost efficiency. This role involves defining long-term architecture for autonomous and human-in-the-loop systems, establishing guardrails for AI adoption, integrating AI into core platform layers, and driving standardization of agentic workflows. The role also encompasses platform architecture, system engineering, enterprise system evolution, technology strategy, and technical authority. | Agent | 7 |
| Director, Machine Learning Engineering, CNN Digital Products & Services Director of Machine Learning Engineering for CNN Digital Products & Services, leading a team to apply ML/AI to personalization, search, recommendations, content understanding, and generative AI for consumer and editorial surfaces. Focuses on people leadership, technical judgment, roadmap alignment, experimentation, performance, and sustainability. Partners with data engineering, analytics, product, and infrastructure teams. | ShipServe | 7 |
| Principal, System Architecture The Principal, Systems Architect will lead the architecture for Warner Bros. Discovery's critical advertising technology platforms, focusing on scalability, reliability, performance, and cost efficiency. This role involves architecting next-generation AI/ML-enabled capabilities, driving the design and implementation of enterprise-scale automation using AI and agentic architectures for autonomous and human-in-the-loop agents that orchestrate deployments, infrastructure lifecycle management, incident response, and operational workflows. The role also defines long-term architectural vision, drives build vs buy vs partner decisions, and ensures systems evolve towards modular, composable, and interoperable platforms. | AgentServe | 7 |
| Manager, Machine Learning Engineer Manager, Machine Learning Engineer for Warner Bros. Discovery, leading a team to build, deploy, and operate large-scale ML systems for media localization (Closed Captioning, translation, dubbing) on the Merlin platform. The role involves end-to-end design, experimentation, ML pipeline development, model serving, and establishing evaluation frameworks, with a focus on Gen AI applications. | AgentServe | 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 |
| Staff Engineer Staff Engineer role focused on designing and delivering scalable, cloud-native solutions for Warner Bros. Discovery's advertising technology stack. The role involves modernizing legacy systems, building APIs and services for ad-serving and campaign management, and implementing ETL pipelines and real-time data processing. A key aspect is the design, building, and operation of AI-driven automation and agent-based systems for workflow orchestration and efficiency. | AgentData | 7 |