Senior ML Engineer, Video & Multimodal AI

Warner Bros. Discovery; San Francisco (CA); On-site; USD 151,000 - 280,000; Full time

Benefits offered by this job

health insurance coverage

employee wellness program

life and disability insurance

retirement savings plan

paid holidays

vacation

sick time

Job summary

Warner Bros. Discovery is seeking a seasoned machine learning engineer to design, build, and deploy video understanding models and multimodal systems.

You will work across data processing, model development, evaluation, and production deployment, collaborating with engineering, product, and creative teams to power scalable video workflows. The role emphasizes applying state-of-the-art CV/vision-language models, datasets, and production-ready ML pipelines, with opportunities to innovate in VFX,

Qualifications

• 4+ years of experience in machine learning, with a focus on computer vision or video.

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

Skills

ML experience

PyTorch / TensorFlow

Python programming

Video models

Multimodal systems

ML pipelines

Distributed systems

Collaboration

Education

Master's/PhD in CS/ML

Tools

N/A

Job description

Warner Bros. Discovery is seeking a seasoned machine learning engineer to design, build, and deploy video understanding models and multimodal systems.

You will work across data processing, model development, evaluation, and production deployment, collaborating with engineering, product, and creative teams to power scalable video workflows. The role emphasizes applying state-of-the-art CV/vision-language models, datasets, and production-ready ML pipelines, with opportunities to innovate in VFX,