Senior Machine Learning Engineer – Video AI, Vision & Creative Systems

Warner Bros. Discovery

Senior Machine Learning Engineer at Warner Bros. Discovery designing and deploying machine learning models for video understanding and creative workflows.

Posted 6/24/2026full-timeBellevue • California, New York, Washington • 🇺🇸 United StatesSenior💰 $155,120 - $288,080 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsPythonPyTorchTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningcomputer visiondeep learningPyTorchTensorFlowPythonvideo modelsmultimodal systemsend-to-end ML pipelineslarge-scale datasets

Soft Skills

collaborationcommunicationproblem-solvingadaptabilitycreativity

Certifications

Master’s in Computer SciencePhD in Machine Learning