Staff Machine Learning Engineer

Responsibilities

• Define and lead the architectural vision for core ML systems, services, and platforms used across SailPoint products.
• Design, develop, and deploy production-grade ML models including behavioral detection, semantic search, graph-based models, and LLM-based solutions.
• Translate research and prototypes into scalable, maintainable, and reusable production systems.
• Own end-to-end technical design for complex ML initiatives, from data pipelines and feature engineering to deployment and monitoring.
• Set and evolve ML engineering standards for experimentation, evaluation, deployment, and governance.
• Mentor engineers on ML system design, software craftsmanship, and production AI best practices.
• Partner with product and engineering leaders to define AI roadmaps and prioritize high-impact capabilities.

Requirements

• 12+ years of experience in machine learning engineering, software engineering, or a related technical field.
• Proven track record of architecting and delivering large-scale, production ML systems with meaningful business impact.
• Deep hands-on expertise with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Strong foundation in data modeling, feature engineering, statistics, and experimental design.
• Extensive experience with MLOps practices, including monitoring, CI/CD, and model lifecycle management.
• BS or MS in Computer Science or a related field, or equivalent professional experience.

Preferred Qualifications

• Experience in cybersecurity, identity, or enterprise SaaS systems.
• Expertise in NLP, Behavioral Modeling, Time Series, or Graph ML.
• Proficiency in Python, SQL, Shell/Bash, Java, or Rust.
• Experience with AWS (SageMaker, Bedrock) and data tools like Snowflake, DBT, Kafka, or Airflow.

About the Company

SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into their digital workforce and ensuring that workers have the right access to do their job. Built on a foundation of AI and ML, our platform delivers the right level of access to the right identities and resources at the right time.