Software Engineer II, Machine Learning (Feature Platform)
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At a glance
AI generatedJoin the Model Serving Systems team as an experienced engineer to develop scalable infrastructure for machine learning applications at Netflix. Your role will involve building and expanding compute resources to support large language models (LLMs) and other AI innovations, ensuring high availability and performance in real-time model inference and serving platforms. You’ll work closely with cross-functional teams including data scientists and product managers to drive ML/AI initiatives across the company. Proficiency in Java, experience with tools like Triton Inference Server, TensorRT, Docker, and public cloud services such as AWS, Azure, or GCP is essential. This role demands a passion for scalable systems and a commitment to delivering high-quality solutions in a fast-paced, multidisciplinary environment.
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
$159,500–$240,700
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$161,875–$244,000
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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