Staff Machine Learning Engineer - (Data & Audience Platform)
Warner Bros. Discovery22 hours ago
Hyderābād, IndiaStaff+
Responsibilities
- Define and own the technical architecture for identity, audience intelligence, content affinity, personalization, forecasting, and other core ML systems.
- Lead MLOps architecture covering feature stores, training pipelines, model serving, monitoring, retraining, experimentation, governance, and lifecycle standards.
- Architect and deliver probabilistic identity resolution using entity resolution, embeddings, calibration, candidate blocking, and graph-based approaches.
- Lead audience intelligence, recommendation, lookalike modeling, content segmentation, forecasting, and personalization initiatives.
- Evaluate technologies and build/buy/partner approaches including graph ML, DCR-native modeling, agentic orchestration, and LLM-augmented pipelines.
- Set ML engineering standards across Hyderabad and align with global engineering practices.
- Mentor Senior and MLE 2 engineers and serve as the technical anchor for the Hyderabad team.
- Partner with engineering management on roadmaps, headcount planning, capability development, architecture reviews, and cross-functional technical forums.
Requirements
- 8+ years of industry experience in ML engineering, or 6+ years with a Ph.D., with demonstrated Staff-level scope and impact.
- Mastery of data engineering, feature engineering, model development, MLOps, production monitoring, and the full ML lifecycle.
- Deep expertise in Databricks, including Delta Lake, Unity Catalog, Workflows/DLT, MLflow, Feature Store, Asset Bundles, and Genie Space configuration.
- Strong AWS experience with SageMaker, S3, Lambda, and Glue, plus Snowflake expertise including DCR patterns, Snowpark, Cortex, and SQL optimization at scale.
- Experience architecting production ML systems serving millions of users and influencing technical standards across teams.
- Expertise with PyTorch, TensorFlow, XGBoost or LightGBM, and scikit-learn, along with strong statistics and ML fundamentals.
- Master’s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field, or equivalent industry experience.
- Excellent communication skills for advocating technical solutions to engineering, science, product, and executive audiences.
- Preferred experience includes identity resolution, audience modeling, recommendation or ranking, content understanding, Data Clean Rooms, real-time feature serving, low-latency inference, mixture-of-experts, graph neural networks, agentic AI frameworks, enterprise RAG, and relevant publications or conference presentations.
Benefits
- Fast-track growth opportunities.
- Equal opportunity and inclusive workplace.
- Accessibility accommodations are available during the application and recruitment process.
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About Warner Bros. Discovery
Warner Bros. Discovery is a global media company that produces and distributes film, television, streaming, sports, news, and games for consumers and distribution partners. Its portfolio includes Warner Bros. Pictures, HBO and Max, CNN, Discovery Channel, HGTV, and DC, with revenue from subscriptions, advertising, licensing, and theatrical releases. Formed in 2022 through the merger of WarnerMedia and Discovery, it is headquartered in New York City and trades on Nasdaq as WBD.