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Über
Warner Bros. Discovery (WBD) is home to the world's most iconic entertainment, news, and sports brands — HBO Max, CNN, Discovery+, DC, Warner Bros., Bleacher Report, Food Network, and many more. Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team builds the foundational AI/ML intelligence that powers identity, audience, advertising, and personalization across every WBD brand. We turn first-party signals from hundreds of millions of viewers into production ML systems that expand addressable audiences, sharpen targeting and measurement, forecast demand, and personalize content discovery — directly driving advertising yield, marketing efficiency, engagement, and retention. About the Role: This is a senior, high-ownership US-based role that sits between our Senior MLE and Staff MLE levels. You will own the design and delivery of production ML systems end to end and take on cross-cutting technical leadership: setting patterns, driving key architectural decisions on flagship workstreams, and raising the bar for the broader ML organization — including close partnership with our Hyderabad ML team. As a US-based senior engineer, you will also serve as a technical anchor and time-zone bridge across the global team: framing ambiguous problems, unblocking others, and translating business priorities from US-based Product, Marketing, and Ad Sales stakeholders into an executable ML roadmap. This role is ideal for engineers with roughly 5–8 years of experience (3+ with a PhD) who operate with strong autonomy, lead by influence, and can move fluidly from hands-on modeling and pipeline engineering to architecture and mentorship. You will do meaningful individual technical work while beginning to exercise Staff-level scope across initiatives. What You'll Do: ML System Design & Technical Leadership Modeling & Experimentation MLOps & Infrastructure Agentic AI & Modern Development Mentorship & Cross-functional Collaboration Flagship Projects You'll Work On: Identity Intelligence Audience Intelligence ML-based Forecasting Content Preferences & Affinity What You'll Bring: Required Preferred Our Technology Stack: Primary platform: Databricks (Lakehouse, PySpark, Delta, Workflows/DLT, MLflow, Feature Store, Unity Catalog, Asset Bundles, Genie). Cloud: AWS (SageMaker, S3, Lambda). Warehouse: Snowflake (incl. DCR, Snowpark, Cortex). Activation: Mosaic, FreeWheel, Google Ad Manager. Agentic AI: Cursor, GitHub Copilot, Amazon Q, Databricks Genie, Snowflake Cortex, MCP. Languages: Python (primary), SQL, Scala (as needed). Warner Bros. Discovery is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Sprachkenntnisse
- English
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