Staff Machine Learning Engineer - (Data & Audience Platform)
Warner Bros. (Warner Bros. Entertainment Inc.) (company site, opens in a new tab)8+ yrsHyderabadOn-siteDirect career pageEst. 60–75 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead technical architecture and design for core ML systems including identity resolution, audience intelligence, content affinity, and forecasting platforms.
- Own the end-to-end ML infrastructure and MLOps standards on a Databricks-centric stack integrating Snowflake and AWS tools, ensuring scalable, production-grade deployments.
- Provide architectural leadership, mentor senior engineers, and influence cross-functional teams on ML engineering best practices and strategic roadmap decisions.
Minimum Requirements
- 8+ years in machine learning engineering with demonstrated Staff-level technical leadership and impact.
- Expertise in full ML stack including data engineering, feature engineering, model training, deployment, monitoring, and MLOps using Databricks, Snowflake, and AWS.
- Master’s or Ph.D. in Computer Science, Statistics, Machine Learning, or related field, or equivalent industry experience.
- Proficiency with ML frameworks such as PyTorch, TensorFlow, XGBoost/LightGBM, and strong statistical/ML fundamentals.
Ideal Candidate Profile
- Experienced in architecting and scaling production ML systems serving millions of users, particularly in streaming, media, or ad-tech domains.
- Strong knowledge of probabilistic identity resolution and data clean room ML technologies with hands-on experience implementing complex ML pipelines.
- Effective at setting technical standards and driving cross-team alignment on ML practices and infrastructure within large, multi-disciplinary engineering organizations.