Machine Learning Engineer II

Warner Bros. Entertainment Inc. • $135K — $251K *
Bellevue, WA 98006In-Person
Media
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 2+ years of industry experience in machine learning
  • Deep practical knowledge of the machine learning lifecycle
  • Experience with large-scale recommender systems and A/B testing
  • Strong programming skills in Python (Java/Go is a plus)
  • Solid understanding of data fundamentals, including SQL and data pipelines
  • Excellent communication skills for cross-functional collaboration
  • Advanced degree (M.S.) or equivalent experience in a relevant field

Responsibilities

  • Build and scale a recommendation system for HBO Max and Discovery+
  • Develop and maintain machine learning systems for personalization
  • Collaborate with applied science engineers to enhance system quality and resilience
  • Optimize performance, scalability, and cost of recommendation services
  • Work with various teams for global expansion of HBO Max
  • Write, test, and review production-level code while adhering to best practices
  • Foster a culture of data-driven innovation and customer advocacy
  • Document technical processes for knowledge sharing
  • Provide front-line support by troubleshooting recommendation system issues

Benefits

  • Engaging work environment focused on engineering and operational excellence
  • Opportunity to impact over 100 million users worldwide
  • Ability to work on cutting-edge personalization and search platforms
  • Involvement in global expansion initiatives
  • Culture promotes experimentation and customer-centric innovation
Full Job Description
About You:
We are looking for a passionate Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app HBO Max as well as ongoing and future streaming initiatives. You are excited about working in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. In your role, you will be working in a team of passionate machine engineers and applied researchers contributing to a system that serves 100+ million users worldwide.

Responsibilities:

  • Contribute to building and scaling a recommendation system that powers a state-of-the-art personalization experience to users across HBO Max, Discovery+ and other WBD offerings


  • Contribute on building machine learning systems and operations for personalization.


  • Collaborate with applied science engineers to improve quality, stability, resilience of search and personalization platforms


  • Drive observability, scalability, cost-optimization, and performance tuning and other improvements to recommendations services and models


  • Collaborate with platform, content, user data and product partners as HBO Max expands to new markets around the globe


  • Author, test, review, and optimize production-level code while executing best practices in version control and code integration.


  • 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


  • Contribute technical documentation to support knowledge transfer and sharing


  • Troubleshoot issues in recommendation systems as front-line support


Requirements:

  • 2+ years of industry experience


  • Deep practical knowledge of modern machine learning lifecycle.


  • Practical knowledge of large-scale recommender systems, or large-scale ML ranking/retrieval/search systems and familiarity with A/B Tests.


  • Experience building large-scale ML systems in production


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


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


  • Excellent communication skills and ability to work cross-functionally


  • Advanced degree (M.S.), or equivalent industry experience in statistics, computer science, machine learning or related fields

About Warner Bros. Entertainment Inc.

Warner Bros. Interactive Entertainment is an American video game publisher based in Burbank, California, and part of the newly-formed Global Streaming and Interactive Entertainment unit of Warner Bros. Discovery. WBIE was founded on January 14, 2004 under Warner Bros. and transferred to the Home Entertainment division when that company was formed in October 2005. WBIE manages the wholly owned game development studios TT Games, Rocksteady Studios, NetherRealm Studios, Monolith Productions, WB Games Boston, Avalanche Software, and WB Games Montréal, among others.
Learn more about Warner Bros. Entertainment Inc.
Industry
Media
Founded
1918
* Ladders Estimates

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