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

Warner Bros. DiscoverySan Francisco, CA
$155,120 - $288,080

About The Position

Warner Bros. Discovery is seeking a Senior Machine Learning Engineer specializing in Video AI for their Vision & Creative Systems team. This role involves building next-generation AI systems for video, focusing on large-scale video understanding and creative studio workflows. The work combines computer vision, multimodal learning, and machine learning to enable capabilities like scene understanding, metadata generation, visual effects, storyboarding, and color enhancement. The team emphasizes moving ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. The ultimate goal is to develop scalable, high-quality solutions that enhance both content intelligence and creative workflows.

Requirements

  • 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).
  • 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.

Nice To Haves

  • Exposure to generative or enhancement techniques (e.g., diffusion, inpainting, color/style transfer).

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.

Benefits

  • health insurance coverage
  • an employee wellness program
  • life and disability insurance
  • a retirement savings plan
  • paid holidays and sick time and vacation
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