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Netflix

Machine Learning Engineer – Studio Media Algorithms

Netflix

. Design and deploy reusable algorithms and frameworks for ML models in production .

Posted 10/27/2026full-timeLos Angeles • California • United StatesMid-LevelSenior💰 $466,000 - $750,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and deploying machine learning algorithms and frameworks, with a strong focus on multimedia applications. Proficient in collaborating with cross-functional teams to define system requirements and promote software engineering best practices.

Highest-signal resume keywords
Machine Learning Model DeploymentComputer Graphics / VFX ExperienceDeep Learning Frameworks (PyTorch, TensorFlow)Object-Oriented Programming (Python, Java, C++)Distributed Data Processing Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningComputer VisionFeature ExtractionAlgorithm DevelopmentGenerative ModelsEnd-to-End Multimedia SystemsData ProcessingModel TrainingSoftware Engineering Best PracticesScalable Design
Soft Skills
Excellent CommunicationPeople EngagementCollaboration
Tools & Technologies
NukeHoudiniMayaAvidUnreal EngineUnityCloud Infrastructure
Industry Keywords
Multimedia DomainContent CreationGame PlatformsDistributed Model TrainingEmerging Field Ambiguity

Tech Stack

Tools & technologies
CloudJavaPythonPyTorchTensorflowUnityUnreal EngineC++

About the role

Key responsibilities & impact
  • Design and deploy reusable algorithms and frameworks for ML models in production
  • Iterate across the full cycle of machine learning in the multimedia domain, including data processing, feature extraction, distributed model training with GPUs, and deploying produced models into production
  • Collaborate cross-functionally with research scientists, product managers, creators, and business partners to 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

Requirements

What you’ll need
  • 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
  • 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
  • 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

Benefits

Comp & perks
  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • Paid leave of absence programs
  • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
  • Full-time salaried employees are immediately entitled to flexible time off