Warner Bros. Discovery
Media and Entertainment
StaffSoftwareEngineer–GenAI&ML(Growth&MLTeam)
“Staff Software Engineer – Gen AI & ML (Growth & ML Team) at Warner Bros. Discovery. Skills: Generative AI, Machine Learning, LLM, Software Engineering. Design and end-to-end implementation of AI-powered features. Own selected AI capabilities from idea to production”
What You'll Achieve.
boost watch time; increase the number of subscribers; enhance customer happiness; deliver measurable business value
Industry & Context.
problem framing; making trade-offs explicit; unblocking execution
What They're Looking For.
Must Have
9-13 years of software engineering experience, 5+ years of a proven track record in building and deploying machine learning/AI-powered products to production, at least one impactful LLM-based system actively used by ~200+ users, software engineering fundamentals: designing clean APIs, testing strategies, CI/CD, observability, and operating services in production, Hands-on experience with modern LLM application development (e. g. , retrieval-augmented generation, prompt engineering, tools/agents, evaluation of LLM behavior), Experience deploying AI systems on one or more major cloud platforms (AWS, GCP), working with data platforms such as Databricks, Ability to work pragmatically across the stack: from understanding data and model behavior through to integration into user-facing products and workflows, Comfort operating as a Staff-level engineer: driving technical direction, making trade-offs explicit, influencing across teams, and unblocking execution without needing detailed direction, Excellent collaboration and communication skills, with the ability to translate between technical constraints and productusiness needs
Nice to Have
Experience in Martech, AdTech, or related domains (audience segmentation, campaign optimization, customer journeys, experimentation), Exposure to experimentation and measurement frameworks for AI features (A tests, offline/online evaluation, success metrics definition), Experience with vector databases, feature stores, and building RAG pipelines on top of large-scale data
What You'll Do.
Design and end-to-end implementation of AI-powered features
Own selected AI capabilities from idea to production
Productionize LLM- and RAG-based systems
Collaborate with data engineers
Establish and champion best practices for building AI products
Build on top of our existing data and cloud foundations
Mentor engineers in the team on modern AI application development
How You'll Work.
Team & Collaboration
Work embedded in our data engineering team; partnering closely with Staff+ engineers; Collaborate with data engineers, product, and stakeholders; influencing across teams
Communication Scope
Excellent collaboration and communication skills; ability to translate between technical constraints and productusiness needs
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