Warner Bros. Discovery
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Hyderabad · On-site · 2-5 Yrs · 5 days ago
Film Production · 10000+ Employees · New York, US
Every great story has a new beginning. We're excited to announce that Discovery and WarnerMedia have combined to become Warner Bros. Discovery. We're a premier global media and entertainment company offering audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, sports, news, streaming and gaming. Our mission is simple. To be the world’s best storytellers with world-class products for consumers.
Hiring: Engineering
What employees say
+ It's good company to working here.
− They give so much pressure
More reviews on the company profile.
Interview experience · SDE-intern
Interview was around 70 minutes, asked question from reactjs (it was there in my project), OOPs , java and 3 dsa question. Optimized code was needed, for 1 graph question just approach was sufficient.
Difficult difficulty · Bengaluru · 69 reports
More interview insightsJob description
Overview
Storytelling is, and will always be, the heart of what we do at Skydance.
Responsibilities
- Build and maintain end-to-end ML pipelines for training, evaluation, and batch inference across use cases such as identity resolution, audience segmentation, and content affinity modeling.
- Implement and experiment with supervised, unsupervised, and ranking models in Python (scikit-learn, XGBoost/LightGBM, PyTorch).
- Develop and maintain data and feature pipelines on Databricks (PySpark, Delta, Workflows) that feed the feature store and model-training workflows, with attention to idempotency and reproducibility.
- Support deployment and monitoring of batch inference jobs integrated with downstream activation platforms (e.g., Mosaic, FreeWheel, GAM) and data in Snowflake.
- Leverage Databricks Genie for natural-language exploration of governed Unity Catalog datasets — querying ML feature tables, model outputs, and audience segments.
- Work cross-functionally with Data Engineering, Feature Engineering, and Analytics to ensure data quality and pipeline reliability.
Qualifications
- 2–4 years of industry experience in machine learning, data science, or ML engineering (or 1–2 years with a relevant M.S.).
- Strong Python proficiency; experience with pandas, NumPy, scikit-learn, and at least one deep-learning framework (PyTorch or TensorFlow).
- Hands-on experience with Spark/PySpark or equivalent large-scale data processing.
- Proficiency in SQL and familiarity with cloud data warehouses/lakehouses (Snowflake or Databricks).
- Solid grasp of core ML concepts: classification, regression, ranking, embeddings, and model evaluation; plus strong CS fundamentals (data structures, algorithms, clean code).
- Bachelor’s degree in Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent practical experience).
- Ability to use AI tools to independently improve productivity across the ML lifecycle, and clear written and verbal communication.
- Exposure to recommendation systems, audience segmentation, identity resolution, or forecasting.
- Familiarity with AWS services (SageMaker, S3, Lambda) and/or feature stores (Databricks Feature Store, Feast).
- Exposure to agentic AI tools: Cursor, GitHub Copilot, Amazon Q, Databricks Genie, Snowflake Cortex, or MCP.
Benefits
- A Great Place to work
- Equal opportunity employer
- Fast track growth opportunities
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Job application FAQ
Last updated 25 October 2026
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- What skills matter for this Machine Learning Engineer II ( Growth & ML), Hyderabad role at Warner Bros. Discovery?
- This is a mid-level Machine Learning Engineer II ( Growth & ML), Hyderabad role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.