Staff Machine Learning Engineer - Search
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.
Staff MLE, Search & Personalization, Content Discovery
Location: Seattle, San Francisco Bay Area, New York
About You:
We’re looking for a Staff Machine Learning Engineer to lead the design and evolution of ML and AI driven Search algorithms for our global streaming app, HBO Max. This role will own the end-to-end search algorithm innovation from retrieval and ranking to personalization and experimentation, impacting how millions of users discover content globally.
You will operate at the intersection of ML, systems, and product, bringing both deep expertise in search/relevance systems and strong technical leadership. You’ll help define the roadmap, drive architecture decisions, and elevate the team’s ability to build and iterate on high-quality search experiences.
Responsibilities:
Lead the design and development of large-scale model driven search algorithms including retrieval, ranking, and query understanding
Define and evolve the technical strategy for search, balancing relevance, latency, and scalability
Drive end-to-end ML systems: data pipelines, feature engineering, model training, experimentation, and serving
Partner closely with product, data, and infrastructure teams to shape and execute on the search roadmap and user experience
Mentor engineers and data scientists and raise the bar on algorithm development, system design, ML and engineering practices
Identify and drive high-impact opportunities across search and personalization
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
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