ML Engineer, Media AI & Graphics — Stock Options

Netflix

Los Angeles (CA)

Vor Ort

USD 466.000 - 750.000

Vollzeit

Vor 9 Tagen

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Benefits dieser Stelle

Health Plans
Mental Health support
401(k) Retirement Plan with employer 2
Stock Option Program
Disability Programs
Health Savings and FSA
Family-forming benefits
Paid time off

Zusammenfassung

Netflix is seeking a Machine Learning Engineer to research, develop, and deploy scalable ML and computer vision models for media analysis and creation. You will work with cross-functional teams across research, product, and studios to turn ideas into production-ready solutions.

We value strong ML fundamentals, experience with graphics pipelines and tools, and proficiency in Python, Java, or C++. Expect collaboration with researchers, engineers, and creators to push the boundaries of multimedia

Qualifikationen

  • Experience deploying artist-facing ML tools.
  • Strong ML fundamentals and experience with CV/graphics pipelines.
  • Proficiency in Python, Java or C++ and OO design.

Aufgaben

  • Design and deploy reusable ML algorithms and frameworks for production.
  • Iterate across data processing, feature extraction and distributed model training with GPUs.
  • Collaborate with researchers, product managers, creators, and partners to define system requirements.
  • Productize algorithms with Studio and infrastructure teams.
  • Contribute to scalable designs and promote software engineering best practices.

Kenntnisse

Python
Java
C++
ML fundamentals
CV pipelines
Distributed processing
Cloud infrastructure
Graphics pipelines

Tools

Nuke
Houdini
Maya
Avid
Unreal Engine
Unity

Jobbeschreibung

Netflix is seeking a Machine Learning Engineer to research, develop, and deploy scalable ML and computer vision models for media analysis and creation. You will work with cross-functional teams across research, product, and studios to turn ideas into production-ready solutions.

We value strong ML fundamentals, experience with graphics pipelines and tools, and proficiency in Python, Java, or C++. Expect collaboration with researchers, engineers, and creators to push the boundaries of multimedia

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