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# Software Engineer 4/5 - Model Development and Management, AI Platform

- **Company:** Netflix, Inc.
- **Location:** Los Gatos, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, C++ (Programming Language), Data Infrastructure, Distributed Systems, Python (Programming Language), Machine Learning, Azure Machine Learning, Scala (Programming Language), Software Deployment, Software Engineering, Large Language Models, AI Platforms, Kubernetes, Machine Learning Operations
- **Published:** September 30, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/po2la9pgds

## About the Role

To be successful in this role, you must have a strong software engineering background, a keen sense of software design, have proven experience with distributed applications and ML systems, be a good communicator, and work well in large cross-functional teams., * Experience developing platform solutions - SDKs, developer frameworks, or internal tooling used by ML Researchers, ML Engineers, and Data Scientists, emphasizing a user-first approach and demonstrating strong user empathy.

 * Excellent software design and development skills in Python along with one of Scala, Java, C++.
 * Experience working on or alongside modern, large-scale ML services. You understand the full lifecycle from data and features to training, experiment tracking, and production deployment, and can build tooling that makes that lifecycle faster and more reliable.
 * Familiarity with ML workflow orchestration, experiment tracking, or feature/data infrastructure - ideally with tools like Metaflow, Airflow, Kubeflow, MLflow, or similar.
 * Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems.
 * 5+ years of full time software engineering or machine learning experience with a bachelor's and master's degree; or PhD degree.

Preferred, But Not Required Additional Areas Of Experience

 * Experience building machine learning models or LLMs
 * Experience designing or building agentic systems.
 * Experience working with public clouds, especially AWS.
 * Significant contributions to open source projects.



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