Manager, Machine Learning Engineering

Responsibilities

• Lead a team of machine learning engineers working on video AI across understanding and creative applications
• Stay hands-on, contributing directly to modeling, prototyping, and production systems
• Drive execution across the full ML lifecycle: problem definition, modeling, evaluation, and deployment
• Partner with product, creative, and engineering teams to define priorities and deliver impactful ML-powered features
• Build and scale production-grade ML systems for video understanding and creative workflows
• Balance rapid iteration with building robust, scalable systems
• Provide technical leadership and mentorship, raising the bar for ML and engineering practices
• Collaborate with platform and infrastructure teams to ensure reliable and scalable solutions
• Qualifications & Experience
• 8+ years of experience in machine learning / software engineering, with a focus on computer vision, video understanding, and gen AI
• 2+ years of experience leading or mentoring engineers, with a strong preference for hands-on leadership
• Strong experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Proven track record of building and deploying end-to-end ML systems in production
• Strong background in computer vision, video understanding, or multimodal systems
• Experience with large-scale datasets and distributed systems
• Experience with generative AI techniques (e.g., diffusion, image/video generation)
• Strong system design and architecture skills
• Ability to operate in ambiguous, fast-moving environments while maintaining execution focus
• Strong collaboration and communication skills across technical, product, and creative teams
• How We Get Things Done...
• Championing Inclusion at WBD
• If you're a qualified candida

Benefits

Additional Information

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, Machine Learning Engineering - Video AI & Studio AI Job Description What We Do We build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows. Our work combines computer vision, multimodal learning, and machine learning to enable capabilities such as scene understanding, metadata generation, visual effects, storyboarding, and color enhancement across media content. We focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Our goal is to build scalable, high-quality solutions that power both content intelligence and creative workflows.

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