Senior Machine Learning Engineer (Consumer Team) at Warner Bros. Discovery
Listed by DevShelfHub
About the Role
Global media and entertainment companies are turning first-party audience signals into ML capabilities for identity, advertising, and personalization. Warner Bros. Discovery is hiring a Senior Machine Learning Engineer in Hyderabad to build production ML systems within the SPARK organization's Machine Learning Engineering team.
What you'll do
- Design and operate low-latency online serving systems for fraud scoring, message decisioning, and real-time personalization
- Build ML models for identity resolution, audience intelligence, content affinity, and time-series forecasting
- Integrate with personalization systems to consume in-app user signals
- Design feature pipelines fusing real-time streaming signals with batch-computed features
- Partner with Product, Engineering, and Data Science to translate business problems into ML solutions
- Architect probabilistic identity resolution connecting device IDs and cookies to households with calibrated confidence
- Lead evolution of Audience Intelligence including ML Promo Optimizer, STAT v2, and content segmentation
- Design offline and online evaluation approaches with clear baselines and promotion criteria
- Mentor MLE 2 engineers and represent the Hyderabad team in technical forums
What we're looking for
- 5–8 years of ML engineering experience (or 2+ years with Ph.D.)
- Comfortable owning systems end-to-end from problem definition through serving and monitoring
- Experience with optimization problems like ranking, personalization, or multi-objective decisioning
- Hands-on experience with Databricks, Spark, and SageMaker
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This senior role offers end-to-end ownership of production ML systems — from identity resolution and audience intelligence to personalization and forecasting — on Databricks, Snowflake, and AWS.
- Design and operate low-latency online serving systems for fraud scoring and real-time personalization
- Build ML models for identity resolution, audience intelligence, and content affinity modeling
- Design feature pipelines fusing real-time streaming with batch-computed features
- Architect probabilistic identity resolution across WBD brands
- Lead evolution of Audience Intelligence including lookalike modeling in Snowflake DCR
- Own ML architecture for forecasting audience growth, demand, yield, and pricing
- Evaluate agentic ML orchestration and LLM-augmented pipelines
- Mentor MLE 2 engineers through architecture reviews and hands-on problem solving
- Build primarily on Databricks with Snowflake and AWS
- Hybrid work in Hyderabad with global media impact
About Warner Bros. Discovery
- Industry
- Technology
- Company Size
- 500+
- Website
- warnerbrosdiscovery.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 5–9 years
- Location
- Hyderabad, Telangana, India (Hybrid)
- Work Mode
- Hybrid
- Category
- AI / ML
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