Staff Machine Learning Engineer
Warner Bros. DiscoveryAbout the 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.
Max is where storytelling takes center stage and where creatives find a home with the support and resources to do their best work, no matter the genre or format. Whatever the viewer wants to watch is front and center and more of what they crave is easily discovered. It is where our exclusive Max Originals and iconic entertainment brands thrive, with HBO, HBO Max, Warner Bros., DC, Turner Classic Movies, Cartoon Network and more delivering the greatest array of series, movies, and specials for audiences of all ages. HBO Max originally launched in the United States in May 2020 and introduced a lower priced, advertising-supported tier in June 2021. It rolled out globally across Latin America and the Caribbean in 2021, followed by its first European launches in the Nordics and Spain later that year. In May 2023, Warner Bros. Discovery introduced Max, an enhanced streaming platform, in the U.S. HBO Max is currently available in 46 countries and there are plans for the continued global expansion of Max in 2024.
Staff MLE, Content Recommendation, Content Discovery
Location: SF Bay Area, New York, Seattle, Burbank
Every great story has a new beginning.
We're excited to announce that Discovery and WarnerMedia have combined to become Warner Bros. Discovery. We're 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, and 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, MotorTrend, and many more.
About You:
We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps. You will be in the unique role of acting as a leader who can work seamlessly with modeling and engineering teams and can build and contribute to architecting a system that serves millions of users worldwide. As an engineering leader, you are excited about working in an environment that fosters innovation via prototyping, development, experimentation and productionalization. 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.
Responsibilities:
Architect, build and scale a recommendation system that powers a state of the art search & personalization experience to users across Max, HBO, Discovery+ and other WBD offerings
Collaborate with other ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale
Collaborate with data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion
Use and build upon open-source cloud computing technologies
Participate and support engineering leaders in strategic planning and demonstrate good judgment in setting and delivering against strategic goals for the team
Mentor, influence engineers across organizations and lead by
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