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# Staff Machine Learning Engineer

- **Company:** Warner Bros. Discovery
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $192,570.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Algorithm Design, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Distributed Systems, Data Intelligence, Python (Programming Language), Search Algorithms, Machine Learning, Natural Language Processing, Recommender Systems, Search Technologies, SQL Databases, Model-Driven Development, Google Cloud, Feature Engineering, Low Latency, Machine Learning Operations, Data Pipelines
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/16600ed4-b848-48d0-ab2e-6a85db1f8172

## About the Role

* 8+ years of industry experience, with 4+ years as tech lead experience (preferred)

 * Deep expertise in search and/or ranking algorithms(e.g., retrieval, LTR, semantic search, query understanding, entity recognition)

 * Strong experience building large-scale ML systems in production

 * Proven ability to lead technical direction and influence across teams

 * Experience with online experimentation and metrics-driven development

 * Strong programming skills in Python (Java/Go a plus)

 * Experience with distributed systems and cloud platforms (AWS/Google Cloud Platform/Azure)

 * Solid understanding of data fundamentals (SQL, pipelines, feature stores)

 * Excellent communication skills and ability to work cross-functionally

Nice to Have

 * Experience with recommender systems or personalization

 * Experience with NLP techniques

 * Familiarity with vector search / ANN (Faiss, ScaNN, etc.)

 * Experience in streaming, marketplace, or content discovery platforms

## Description

* Lead the design and development of large-scale model driven search algorithms including retrieval, ranking, and query understanding

 * Define and evolve the technical strategy for search, balancing relevance, latency, and scalability

 * Drive end-to-end ML systems: data pipelines, feature engineering, model training, experimentation, and serving

 * Partner closely with product, data, and infrastructure teams to shape and execute on the search roadmap and user experience

 * Mentor engineers and data scientists and raise the bar on algorithm development, system design, ML and engineering practices

 * Identify and drive high-impact opportunities across search and personalization

 * Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers


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