Machine Learning Engineer - Search
Listed on 2026-01-09
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IT/Tech
Cloud Computing, AI Engineer
Location: New York
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., , Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring!
Staff MLE , Personalization, Content Discovery
Location:
Seattle, San Francisco Bay Area, New York
Every great story has a new beginning.
Warner Bros. Discovery is a premier global media and entertainment company offering audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, sports, news, streaming and gaming. Our mission is simple. To be the world's best storytellers with world-class products for consumers. From brilliant creatives to technology trailblazers and beyond, join us as we step into the next chapter.
Warner Bros. Discovery's DTC technology and product organization sits at the intersection of tech, entertainment, and everyday utility. We are continuously leveraging new technology to build immersive and interactive viewing experiences. Our platform covers everything from search, content catalog, video transcoding, to personalization, global subscriptions, and more. We are committed to delivering unique and quality user experiences, ranging from video streaming to applications across connected TV, mobile, web and consoles.
As a pure tech organization, we are essential to Warner Bros. Discovery’s continued growth, building world-class streaming products from the ground-up for our iconic brands like HBO Max, Discovery Channel, CNN, Food Network, HGTV, Eurosport, Motor Trend , and many more.
We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization models and algorithms for our new global streaming app, Max, as well as any future DTC streaming apps. You are excited about working in an environment that fosters innovation via prototyping, development, experimentation, and productionization . You will bring the right balance between rapid feature iteration and building a common set of platforms and tools to move quickly in the future.
In your role, you will be working alongside a team of passionate machine learning engineers and applied Machine Learning researchers to build and contribute to architecting a system that serves millions of users worldwide.
- Architect, build and scale a recommendation system that powers the state-of-the-art personalization experience to users across Max, HBO, Discovery+ and other WBD offerings
- Collaborate with ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale
- Collaborate with other data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion
- Author, test,…
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