Software Engineer II
Warner Bros. Discovery
Job Overview
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Job Description
Welcome to Warner Bros. Discovery
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.
At HBO Max, storytelling takes center stage. We’re one of the world’s most iconic entertainment brands — home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what’s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.
HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring!
About the Team
The Media Supply Chain (MSC) AI Team is pioneering tomorrow’s supply chain by applying the latest in AI technologies. From automating metadata enrichment to enabling agentic experiences and natural language search, we are revolutionizing how media is produced, processed, and delivered. Join a high-impact, fast-moving team committed to innovation, collaboration, and continuous learning.
Responsibilities for Software Engineer II
- Design, develop, and deploy AI-driven features across the supply chain.
- Collaborate with product and engineering teams to integrate AI solutions into existing workflows.
- Build and maintain robust, scalable AI services and inference pipelines.
- Test, document, and implement prompt engineering strategies for GenAI and RAG applications.
- Participate in proof-of-concept (POC) initiatives and contribute to internal AI best practices and tools.
- Maintain and extend reusable agents for seamless AI integrations.
- Contribute to AI documentation and knowledge sharing across engineering teams.
Requirements
- Bachelor's degree in computer science or related field.
- 2+ years of experience in software engineering.
- Experience building solutions with one or more of the following AI/ML concepts: inference/embedding models, agents, RAG, model distillation, vector search.
- Proficient in one of the following languages: Python, JavaScript/TypeScript, Go.
- Familiarity with AWS Bedrock or GCP Vertex AI platforms.
- Strong collaboration and communication skills.
- Willingness to learn rapidly in a fast-paced environment.
- Prior experience in the media industry is a plus.
Key skills/competency
- AI/ML Development
- Python
- Generative AI (GenAI)
- Retrieval Augmented Generation (RAG)
- Inference Models
- Vector Search
- Cloud AI Platforms (AWS Bedrock, GCP Vertex AI)
- Scalable AI Services
- Software Engineering
- Media Supply Chain
How to Get Hired at Warner Bros. Discovery
- Research Warner Bros. Discovery's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight your AI/ML experience, proficiency in Python/JavaScript/Go, and cloud platform familiarity (AWS Bedrock, GCP Vertex AI) for Software Engineer II roles.
- Showcase your AI/ML project expertise: Prepare to discuss specific projects involving inference/embedding models, RAG, model distillation, or vector search during interviews.
- Master technical concepts: Be ready for coding challenges and in-depth discussions on AI architecture, scalable services, and prompt engineering strategies relevant to the Software Engineer II position.
- Emphasize collaboration and learning: Provide examples demonstrating strong teamwork, effective communication, and a proactive approach to learning new technologies in fast-paced environments.
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