Warner Bros. Discovery

Senior Machine Learning Engineer – Video AI (Vision & Creative Systems)

Warner Bros. Discovery

New York•On-site•4-7 Yrs•Jun 26

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

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.
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

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
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)
Ability to translate ambiguous problems into clear technical solutions
Strong collaboration and communication skills across technical and non-technical teams

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