SailPoint is seeking a Senior Machine Learning Engineer to contribute to the design and development of SailPoint’s AI Platform and leverage it to deliver innovative machine learning and generative AI solutions that power its core products.
Requirements
- Minimum of 5+ years of experience working as a Machine Learning Engineer or Data Scientist.
- Experience deploying ML models into production.
- Understanding of common ML algorithms and techniques (e.g., clustering, classification, regression).
- Strong command of MLOps best practices and existing frameworks.
- Experience with feature stores such as Feast.
- Experience implementing RESTful APIs for an API-first application architecture.
- Experience building microservices and knowledge of common microservice design patterns.
Responsibilities
- Design, build, and maintain a production-grade machine learning platform
- Develop and deploy ML models using the platform
- Extend platform capabilities to support Generative AI workloads
- Establish repeatable patterns that ensure reliable model deployments
- Collaborate with ML Engineers, Software Engineers, and Data Scientists to deliver production-ready AI features
- Ensure models are deployed, monitored, and tracked with clear, actionable dashboards.
- Deliver efficient, maintainable, and robust microservices to support AI features.
Other
- A self-starter who can engage on ambiguous assignments and provide thought leadership.
- Strong verbal and written communication skills, with the ability to translate complex concepts into easy-to-understand language for product and business stakeholders.
- Must be willing to be part of an on-call rotation.
- Remote or Hybrid (Austin, TX).
