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# Machine Learning Engineer (L4/L5) - Studio Media Algorithms

- **Company:** Netflix, Inc.
- **Location:** Los Angeles County, CA, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Algorithm Design, Computer Vision, C++ (Programming Language), Cloud Computing, Computer Graphics, Distributed Computing Environment, Python (Programming Language), Machine Learning, Maya, Object-Oriented Software Development, Tensorflow, Software Construction, Software Requirements Analysis, Visual Effects, Houdini (Software), Data Processing, Graphics Processing Unit (GPU), Pytorch, Deep Learning, Avid Media Composer, ComfyUI (Graph-based Pipeline Editor for Generative Image Workflows), Machine Learning Operations, Feature Extraction, Unreal Engine
- **Published:** October 30, 2026
- **Apply:** https://www.dice.com/job-detail/b97f06d0-6fe5-4625-be70-c80dd05d7234

## About the Role

* Strong track record of deploying artist-facing ML tools
 * Experience with computer graphics / VFX / content creation / game platforms such as Nuke, Houdini, Maya, Avid, Unreal Engine, or Unity
 * Excellent ML / CV fundamentals and experience with ML, CV, and/or graphics pipelines
 * Passion for turning ideas into products and improving the user experience
 * Skills in OO programming (Python, Java, or C++)
 * Experience with large-scale distributed data processing systems and cloud infrastructure
 * Comfort with the ambiguity of an emerging field
 * Excellent communication and people engagement skills

Bonus experience:

 * Experience with models and tools for generative models, such as Diffusion models and ComfyUI
 * Building end-to-end multimedia systems and algorithms
 * Deep learning frameworks such as PyTorch and Tensorflow

## Description

We are looking for a Machine Learning Engineer with experience in the machine learning (ML), computer vision (CV), and/or graphics domain to research, develop, and deploy scalable models and systems to analyze, create, and transform media assets.

In this role, you will:

 * Design and deploy reusable algorithms and frameworks for ML models in production.
 * Iterate across the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into production.
 * Collaborate cross-functionally with research scientists, product managers, creators, and business partners to help define and prioritize system requirements.
 * Work closely with ML/CV/Graphics researchers, Infrastructure, and Studio teams to productize algorithms and models.
 * Participate in algorithm development and propose scalable designs.
 * Promote and facilitate software engineering best practices in the team.