Senior Machine Learning Engineer (REMOTE) at SailPoint

This role is ideal for a seasoned Machine Learning Engineer with at least 5 years of experience who thrives at the intersection of research and production-grade software engineering. You should have a strong background in developing models for complex data challenges, specifically using Python and frameworks like PyTorch or TensorFlow. Experience in cybersecurity or identity security is a major plus, particularly if you have expertise in Behavioral Modeling, GraphML, or NLP. The compensation is highly competitive, reaching up to $201k depending on experience, and comes with a comprehensive benefits package including equity participation and a flexible vacation policy. While the listing mentions "Remote" in the title but "On-site" in the metadata, SailPoint is known for its flexible cloud-first culture. You’ll have the chance to work with a modern AI stack (AWS SageMaker, Snowflake, Bedrock) and see your models move from prototype to global production. **You might be a good fit if you:** * Have a proven track record of deploying anomaly detection, semantic search, or similarity measurement models to production. * Are comfortable coding in Python and Go within a cloud-native AWS environment. * Enjoy "full-stack" ML—owning everything from data pipelines and feature engineering to model monitoring and CI/CD. * Want to solve high-stakes problems in identity security using cutting-edge Generative AI and GraphML.