Machine Learning Engineer, Platform & Production

Position: Staff Machine Learning Engineer, Platform & Production
** _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!

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* About You:

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* We are looking for a   passionate   Staff Machine Learning Engineer to bridge the gap between   cutting-edge   ML   algorithm development   and production grade, scalable softwa re 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   engineer ing   best   practices, creat e   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:*
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** Recommendation & Search   model training   a rchitecture:
** Architect, build, and scale recommendation systems   powering   personalization and search experiences across our streaming platforms.

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** Codebase Architecture :
** Design modular, scalable ML repositories built for rapid iteration, fast deployment, and production experimentation.

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** Engineering Excellence :
** Establish   coding standards, testing frameworks, code review workflows, and CI/CD pipelines using open-source cloud technologies   for ML and DS work streams .

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** Production Velocity :
** Build infrastructure abstractions and components that allow seamless transition from model training to large-scale serving.

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** Cross-Functional Delivery:
** Collaborate with   other ML engineers ,   data scientists and   product managers,   to drive complex ML projects from conception to completion.

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** Strategic Planning :
** Partner with   product and   engineering leadership to define, plan, and deliver against long-term strategic goals.

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** Culture & Mentorship:
** Mentor and influence engineers across organizations by   demonstrating   high-quality work, advocating for the customer, and fostering an innovative,   engineering
-driven culture.

** Requirements:*
* +  8+ years of industry experience, with 4+ years as tech lead experience (preferred)

+  D eep   practical   knowledge in designing   scalable, production-grade Search or Recommendation systems architecture

+  Knowledge of large-scale distributed   systems, architecture, APIs, and   databases.

+  Solid   practical   understanding   in modern machine learning lifecycle , common pain-points, and research and production environments .

+  Staff level experience building production systems with   expertise   in   Python/Java ,   containerization , and cloud platforms.

+  Hands-on experience with   MLOps   tools and frameworks ( MLflow ,   Kubeflow,   Sagemaker ,   etc ) , or   building internal systems.

+  Familiarity with m achine learning algorithms ( in particular for   recommender systems) is   a strong   plus

** How We Get Things Done...*
* This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at      along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

** Championing Inclusion at WBD*
* Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our…