Senior Machine Learning Engineer at SailPoint

This role is ideal for a seasoned Machine Learning Engineer with at least 5 years of experience who bridges the gap between data science and production engineering. You should have a proven track record of deploying models at scale and a strong grasp of MLOps. The team is looking for a "builder" personality—someone who can develop the underlying AI platform and microservices while also implementing Generative AI workloads. The compensation package is competitive, with a base salary reaching up to $221,700 at the top of the range, plus bonuses and equity. While listed as "On-site" in the header, the description confirms flexibility for **Remote or Hybrid (Austin, TX)** work. You’ll have a high degree of ownership, moving from small code contributions to shaping the company's long-term AI strategy within your first year. **You might be a good fit if you...** * Have hands-on experience with MLOps frameworks and feature stores like **Feast**. * Are comfortable building and maintaining production-grade **microservices** and RESTful APIs using Docker. * Want to work at the intersection of Identity Security and **Generative AI** (specifically using AWS Bedrock/SageMaker). * Are willing to participate in an **on-call rotation** to support production AI features.