Manager, Machine Learning Engineering

Warner Bros. Discovery•New York, NY

132d

About The Position

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! Manager MLE, Search and Personalization Team: About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com. Roles & Responsibilities: We are looking for a passionate Manager Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. You are excited about working in a fast- moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. In your role, you will be working in a team of passionate machine engineers and applied researchers contributing to a system that serves 100+ million users worldwide.

Requirements

Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Masters degree or higher preferred).
8+ years of work experience in developing engineering solutions for Machine Learning and Data Science applications with a proven track record to drive innovation and business impacts.
2+ years leading and growing high performance engineering teams.
Familiarity with the practical aspects of machine learning is required.
Familiarity with the practical aspects of machine learning is required.
Proficient in both Python and OOP languages including GoLang, Java or C++.
Experience with Agile methodologies preferred.
Experience in deploying complex and large scale machine learning algorithms and advanced modeling solutions.
Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment.
Strong communication skills and the ability to explain complex engineering systems to non-technical audience.
Works effectively with cross functional teams to build trusted partnership.

Nice To Haves

Experience with recommender/search/ad serving algorithms and systems is a plus.

Responsibilities

Architect and develop robust engineering solutions that utilize machine learning models and algorithms to support personalization's.
Manage project priorities and ensure timely delivery.
Build and lead a world-class team of machine learning and full stack engineers.
Be a hands-on leader and mentor the team in the latest machine learning technologies and processes.
Partner closely with business and data science leadership for opportunity sizing and prioritizing product capabilities.
Partner closely with platform and infra teams to build robust fault tolerant solutions and accelerate the learning cycle.
Partner closely with downstream application teams to develop a flexible and resilient interface between ML products and downstream applications.
Partner closely with the ML Platform team to build flexible and resilient interfaces for training, serving and feature needs for personalization products.
Develop ML Systems roadmap in partnership with Data Science teams, and educate both internal and external stakeholders at all levels to drive resourcing and implementation.
Develop and evangelize engineering best practices for scoping, building, validating, deploying, and monitoring ML/AI products.