Senior Machine Learning Engineer

About the Role

The AI team at SailPoint is committed to creating AI solutions that solve real-world problems in identity security. With a strong foundation in classical ML and recent innovations in Generative AI and Graph ML, the team leverages domain expertise to bring AI solutions to SailPoint's core product lines. As a Senior Machine Learning Engineer, you will play a critical role in shaping the company's AI vision and architecture.

SailPoint's Identity Security Cloud Platform is built on a foundation of AI and ML, delivering the right level of access to the right identities and resources at the right time. As a Senior Machine Learning Engineer, you will contribute to the development of this platform, ensuring that it meets the scale, velocity, and changing needs of modern enterprises.

What You Will Do

• Design, experiment with, and implement ML models to solve complex identity security challenges
• Take ownership of research and prototyping efforts in areas like embeddings, representation learning, and similarity measurement
• Translate AI research and prototypes into practical, effective, and production-ready systems
• Drive improvements in model accuracy, precision/recall, and generalization for your projects
• Implement and advocate for best practices in ML engineering, testing, and architecture
• Communicate complex ML concepts and project updates to technical and non-technical stakeholders
• Partner with product managers to scope and deliver high-impact AI capabilities
• Work cross-functionally with platform and analytics teams to ensure your components integrate seamlessly into SailPoint's ecosystem
• Contribute to model lifecycle management, AI governance, and responsible AI practices

What We Are Looking For

• 5+ years of professional experience in a technical field with a focus on machine learning
• Proven experience applying modeling techniques such as anomaly detection, semantic search, embeddings, or similarity measurement to real-world applications
• Strong programming skills in Python and proficiency with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
• Solid understanding of data modeling, feature engineering, and statistical analysis
• Excellent communication skills and the ability to collaborate effectively in a cross-functional team
• Strong foundation in software engineering best practices: testing, modularization, code review, and observability
• Good knowledge of MLOps practices—including model monitoring, retraining, and CI/CD

Nice to Have

• Experience in cybersecurity, identity, or enterprise SaaS systems
• Expertise in at least one of our core modeling areas: NLP, Behavioral Modeling, or Graph ML
• Experience owning the technical design and delivery of complex ML components or features
• Hands-on experience building and deploying ML models in a cloud-native environment

Benefits and Perks

• Opportunity to work with a cutting-edge Identity Security Cloud Platform
• Collaborative and dynamic work environment
• Professional development opportunities
• Competitive compensation and benefits package
• Remote work options
• Access to the latest ML tools and technologies
• Recognition and rewards for outstanding performance

• Develop a strong portfolio showcasing your ML engineering skills and experience with Python and ML frameworks.
• Highlight your understanding of data modeling, feature engineering, and statistical analysis in your resume and cover letter.
• Be prepared to discuss your experience with MLOps practices, including model monitoring, retraining, and CI/CD.
• Showcase your ability to communicate complex ML concepts to non-technical stakeholders.
• Research SailPoint's commitment to responsible AI practices and be prepared to discuss your own approach to AI ethics.
• Prepare examples of times when you had to collaborate with cross-functional teams to deliver high-impact AI capabilities.