Machine Learning Scientist 5 - Games
Netflix
At a glance
AI generatedAs a Machine Learning Engineer at the Studio Media Algorithms team, you will work closely with the Games Studio R&D team to bridge research and production by building robust MLOps pipelines for efficient deployment of AI-driven game concepts. Your daily tasks include developing CI/CD workflows, optimizing models for performance across cloud GPUs and edge devices, and integrating ML models into game engine pipelines. You should have expertise in model registries, containerization, and deploying ML models on AWS and SageMaker endpoints. Proficiency with deep learning frameworks like PyTorch and knowledge of hardware profiling tools such as Nsight are essential. Familiarity with graph compiler optimization and strong software engineering skills will enable you to deliver high-quality solutions that enhance the gaming experience for players globally.
Skills
What you'll do
What we're looking for
Market check
This $466,000–$750,000 range sits above 100% of similar postings on FindRole.
Peer median band
$170,000–$243,550
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$174,303–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media
Netflix currently has 91 open roles on FindRole.
Listed pay typically runs $388,000–$610,000 across 87 roles with salary data.
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