Machine Learning Engineer II
Warner Bros. Discovery
- Location
- CA San Francisco 153 Kearny Street
- Work model
- On-Site
- Level
- Mid
- Posted
- Sep 3, 2026
Skills
About this role
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. At HBO Max, storytelling takes center stage. We’re one of the world’s most iconic entertainment brands — home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what’s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture. HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring!
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. E xperience 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