Machine Learning Engineer II

Warner Bros. Entertainment Inc.$135K — $251K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of industry experience in machine learning
  • Deep expertise in modern machine learning lifecycle
  • Experience with large-scale recommender and ML ranking/retrieval/search systems
  • Proven track record of building large-scale ML systems in production
  • Strong programming skills in Python; knowledge of Java/Go is a plus
  • Solid grasp of data fundamentals including SQL and feature stores
  • Excellent verbal and written communication skills, with cross-functional collaboration experience

Responsibilities

  • Build and scale recommendation systems to enhance personalization for HBO Max and other platforms
  • Develop machine learning operations focused on personalization
  • Work with applied science engineers to enhance stability and quality of search platforms
  • Drive improvements in performance, scalability, and cost-effectiveness of recommendation services
  • Collaborate with various teams as HBO Max expands into global markets
  • Write, test, and optimize production-level code following best practices
  • Promote a culture of experimentation and advocate for customer interests
  • Create technical documentation for knowledge sharing

Benefits

  • Opportunity to work with a global streaming platform with a large user base
  • A dynamic work environment that encourages innovation and experimentation
  • Collaboration with a talented team of engineers and researchers
  • Exposure to various aspects of machine learning and applied science in a real-world context
  • Contributing to projects that impact a wide audience across multiple platforms
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.
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