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WB
Full time 🤖 AI / ML

Senior Machine Learning Engineer (Consumer Team) at Warner Bros. Discovery

Listed by DevShelfHub

Hyderabad, Telangana, India (Hybrid)
Hybrid
Senior · 5–9 yrs

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

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 Expert proficiency with PyTorch, TensorFlow, XGBoost/LightGBM, scikit-learn Master's or Ph.D. in Computer Science, Statistics, ML, or related field Excellent communication skills for engineering, science, product, and executive audiences Experience architecting production ML systems for large user populations

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

Warner Bros. Discovery is a premier global media and entertainment company offering audiences the world's most differentiated portfolio of content, brands, and franchises across television, film, streaming, and gaming. The company combines Warner Media's premium entertainment, sports, and news assets with Discovery's leading non-fiction and international entertainment businesses. Brands include HBO Max, CNN, Discovery+, DC, Warner Bros., Bleacher Report, and Food Network.
Industry
Technology
Company Size
500+
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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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