Software Engineer 5 - Model Development and Management, AI Platform

Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation. 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. 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.