Software Engineer – Model Development and Management, AI Platform

About the role

Job Description About Netflix At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Netflix is the world's leading streaming entertainment service with 300M+ paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genr…

Requirements

• , design, and implement products that help accelerate model development for different ML use cases. You’ll have the opportunity to work alongside our applied researchers and data scientists on the cutting edge of machine learning. You will have a strong customer focus and consistently engage with ou…
• 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.

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