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

Warner Bros. Discovery

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Bellevue, WA
Salary
$150,640–$279,760 / yr
Posted
25 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $215k
$135k most similar roles pay here $295k

This role pays more than 52% of similar roles. Most pay $170,000–$246,271 — the shaded band above. At the midpoint, this role pays about $215k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Warner Bros. Discovery

Warner Bros. Discovery is a global media and entertainment company operating a broad portfolio of iconic content and brands including Warner Bros. film studio, HBO, CNN, Discovery Channel, and Max streaming service. Industry: Media & Entertainment

Warner Bros. Discovery currently has 55 open roles on FindRole.

Listed pay typically runs $131,985–$245,115 across 38 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer Video AI (Vision & Creative Systems)

As a Senior Machine Learning Engineer Video AI (Vision & Creative Systems), you will join the team building next-generation AI systems for video content. You will design, build, and deploy machine learning models for video understanding and multimodal systems to power creative studio workflows like visual effects, storyboarding, and color enhancement. Your daily work involves managing the full machine learning lifecycle, including data processing, model development, evaluation, and production deployment. You will utilize Python, PyTorch, or TensorFlow to implement state-of-the-art vision and language models. The role focuses on solving technical challenges in scene understanding, metadata generation, and temporal modeling for large volumes of video content. You will collaborate with engineering and product teams to integrate these capabilities into production pipelines, translating complex problems into scalable solutions for both content intelligence and creative tools.

What you'll do

  • Design, build, and deploy machine learning models for video understanding and multimodal systems.
  • Develop AI capabilities for creative workflows including visual effects, storyboarding, and color grading.
  • Manage the full machine learning lifecycle from data processing and model development to production deployment.
  • Improve model quality using fine-tuning, prompt-based methods, and modern vision/language models.
  • Integrate machine learning models into production pipelines used by engineering, product, and creative teams.
  • Build scalable systems for processing and understanding large volumes of video content.
  • Prototype quickly while developing robust, production-ready systems for studio workflows.

What we're looking for

  • 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 programming skills in Python and solid computer science fundamentals.
  • Strong experience with deep learning frameworks such as PyTorch and/or TensorFlow.
  • Experience with video models including segmentation, tracking, scene understanding, and temporal modeling.
  • Familiarity with multimodal systems, state-of-the-art image/video/language models, and their application to multimodal tasks.
  • Experience building end-to-end ML pipelines involving data processing, training, evaluation, and deployment.
  • Exposure to generative or enhancement techniques such as diffusion, inpainting, and color/style transfer (preferred).

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