Staff ML Engineer — Search & Personalization Architect

Warner Media, LLC.

San Francisco (CA)

On-site

USD 192,570 - 357,630

Full time

14 days+

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Benefits offered by this job

Health insurance
Employee wellness program
Retirement savings plan

Job summary

Warner Media, LLC. is seeking a Staff Machine Learning Engineer to lead the design and evolution of search and personalization algorithms for HBO Max. You will oversee the entire innovation process of search algorithms to enhance user content discovery globally.

Seeking candidates with extensive experience in ML systems and strong leadership skills. Responsibilities include driving technical strategy, mentoring teams, and influencing product development.

The role is based in the San Francisco Bay Area and offers competitive compensation and benefits.

Qualifications

  • 8+ years of industry experience, with 4+ years as tech lead experience preferred.
  • Deep expertise in search and/or ranking algorithms.
  • Strong experience building large‑scale ML systems in production.

Responsibilities

  • Lead the design and development of large‑scale model driven search algorithms.
  • Define and evolve the technical strategy for search.
  • Drive end‑to‑end ML systems including data pipelines and model serving.
  • Mentor engineers and data scientists.
  • Partner closely with product, data, and infrastructure teams.

Skills

Technical leadership
Search algorithms expertise
Python programming
Distributed systems
Communication skills

Tools

AWS
GCP
Azure

Job description

Warner Media, LLC. is seeking a Staff Machine Learning Engineer to lead the design and evolution of search and personalization algorithms for HBO Max. You will oversee the entire innovation process of search algorithms to enhance user content discovery globally.

Seeking candidates with extensive experience in ML systems and strong leadership skills. Responsibilities include driving technical strategy, mentoring teams, and influencing product development.

The role is based in the San Francisco Bay Area and offers competitive compensation and benefits.

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