Senior Machine Learning Engineer - Video AI (Vision & Creative Systems)
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Responsibilities
- Design, build, and deploy machine learning models for video understanding and multimodal systems
- Develop capabilities for creative workflows, including VFX, storyboarding, and color grading
- Work across the full ML lifecycle: data processing, model development, evaluation, and production deployment
- Improve model quality using fine-tuning, prompt-based methods, and modern vision/language models
- Collaborate with engineering, product, and creative partners to integrate ML into production pipelines and user workflows
- Contribute to scalable systems for processing and understanding large volumes of video content
- Prototype quickly while also building robust, production-ready systems
- Qualifications & Experience
- 4+ years of experience in machine learning, with a focus on computer vision or video
- Master's or PhD in Computer Science, Machine Learning, or a related field
- Strong experience with deep learning frameworks (PyTorch and/or TensorFlow)
- Strong programming skills (Python) and solid computer science fundamentals
- Experience with video models (e.g., segmentation, tracking, scene understanding, temporal modeling)
- Familiarity with multimodal systems (vision + language, embeddings, retrieval)
- Familiarity with state-of-the-art image, video, and language models and their application to multimodal tasks
- Ability to implement and adapt algorithms from recent research in computer vision (especially video)
- Exposure to generative or enhancement techniques (e.g., diffusion, inpainting, color/style transfer)
- Experience building end-to-end ML pipelines (data, training, evaluation, deployment)
- Experience working with large-scale datasets and distributed systems
- Ability to translate ambiguous problems into clear technical solutions
- Strong collaboration and communication skills across technical and non-technical teams
- How We Get Things Done...
- Championing Inclusion at WBD
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! Senior Machine Learning Engineer - Video AI (Vision & Creative Systems) 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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