Staff Machine Learning Engineer (Remote) at SailPoint

This role is for a heavyweight engineer with at least eight years of experience who has a track record of moving machine learning models from local prototypes into large-scale production environments. You should be deeply familiar with MLOps and feel comfortable architecting systems that use both classical statistical models and newer generative AI or graph-based approaches within a security context. **What makes it worth a look...** The compensation is high, reaching up to $238k in base salary plus potential equity and bonuses. It is a rare chance to take a leadership position on an AI team where you can influence the long-term platform strategy while still being hands-on with a modern stack that includes AWS SageMaker, Snowflake, and Feast. **You might be a good fit if you...** * Have 8+ years of experience building and deploying production-scale models. * Are proficient with Python, PyTorch, and data orchestration tools like Airflow or Spark. * Know how to handle MLOps essentials like model versioning, CI/CD, and retraining pipelines. * Can bridge the gap between AI research and stable software engineering practices.