Senior ML Engineer - Video AI, VFX & Creative Systems

WarnerMedia Services, LLC

Bellevue (WA)

On-site

USD 151,000 - 280,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
Wellness program
Life and disability insurance
Retirement plan
Paid holidays

Job summary

Warner Bros. Discovery is seeking a Senior Machine Learning Engineer for Video AI to design, build, and deploy models for video understanding and multimodal systems in Bellevue.

This role collaborates with engineering, product, and creative teams to integrate ML into production pipelines and scalable workflows. The ideal candidate has 4+ years of ML experience in computer vision or video, with strong Python and deep learning framework skills (PyTorch and/or TensorFlow).

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 4+ years of experience in machine learning with a focus on computer vision or video.
  • Strong programming skills in Python and solid CS fundamentals.
  • Experience with video models (segmentation, tracking, scene understanding, temporal modeling).
  • Familiarity with multimodal systems (vision + language, embeddings, retrieval).

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.
  • Collaborate with engineering, product, and creative partners to integrate ML into production pipelines and user workflows.
  • Prototype quickly while also building robust, production-ready systems.

Skills

Python
Computer Vision
Video understanding
Multimodal learning
Collaboration

Education

Master's or PhD in CS/ML

Tools

PyTorch
TensorFlow

Job description

Warner Bros. Discovery is seeking a Senior Machine Learning Engineer for Video AI to design, build, and deploy models for video understanding and multimodal systems in Bellevue.

This role collaborates with engineering, product, and creative teams to integrate ML into production pipelines and scalable workflows. The ideal candidate has 4+ years of ML experience in computer vision or video, with strong Python and deep learning framework skills (PyTorch and/or TensorFlow).

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