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Staff Machine Learning Engineer - SearchWarnerMedia Services, LLC • San Francisco, California, United States
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Staff Machine Learning Engineer - Search

WarnerMedia Services, LLC
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Jetzt Bewerben

Über

Staff Machine Learning Engineer – Search & Personalization, Content Discovery (Seattle, San Francisco BayArea, NewYork). Lead the design and evolution of ML and AI‑driven search algorithms for HBOMax, owning end‑to‑end search innovation from retrieval and ranking to personalization and experimentation. Responsibilities 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. Requirements 8+ years of industry experience, with 4+ years as tech lead (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/GCP/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, NLP techniques, vector search/ANN (Faiss, ScaNN, etc.). Experience in streaming, marketplace, or content discovery platforms. Pay range: $192,570.00 – $357,630.00 per year. Additional rewards may include annual bonuses, short‑ and long‑term incentives, and program‑specific awards. Warner Bros. Discovery offers health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time, and vacation. Warner Bros. Discovery is an equal‑opportunity employer. We consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status, or other protected categories. If you are a qualified candidate with a disability and require adjustments or accommodations during the application process, please visit our accessibility page for instructions.
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  • San Francisco, California, United States

Sprachkenntnisse

  • English
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