Staff Machine Learning Engineer, Platform & Production
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.
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 Staff Machine Learning Engineer to bridge the gap between cutting-edge ML algorithm development and production grade, scalable software engineering for our search and personalization systems.
In this role, you will be the technical leader of our engineering rigor, design the core architecture, establish engineering best practices, create scalable MLOps pipelines, and design a codebase that allows the team to iterate, deploy, and quickly experiment in production. You will act as a force multiplier, elevating the software engineering capabilities of the entire ML team.
Responsibilities:
Recommendation & Search model training architecture: Architect, build, and scale recommendation systems powering personalization and search experiences across our streaming platforms.
Codebase Architecture: Design modular, scalable ML repositories built for rapid iteration, fast deployment, and production experimentation.
Engineering Excellence: Establish coding standards, testing frameworks, code review workflows, and CI/CD pipelines using open-source cloud technologies for ML and DS workstreams.
Production Velocity: Build infrastructure abstractions and components that allow seamless transition from model training to large-scale serving.
Cross-Functional Delivery: Collaborate with other ML engineers, data scientists and product managers, to drive complex ML projects from conception to completion.
Strategic Planning: Partner with product and
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s