[Remote] Senior Machine Learning Engineer (REMOTE)

Note: The job is a remote job and is open to candidates in USA. SailPoint is the leader in identity security for the cloud enterprise, and they are seeking a Senior Machine Learning Engineer to shape, build, and scale their AI-powered capabilities. The role involves designing robust ML systems, leading complex initiatives, and collaborating with cross-functional teams to enhance identity security solutions.

Responsibilities

• 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 our model lifecycle management, AI governance, and responsible AI practices

Skills

• 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
• 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

• Medical, dental, and vision insurance
• Short-term and long-term disability
• Life insurance and Accidental Death & Dismemberment (AD&D)
• Supplemental life insurance for employees, spouses, and children
• Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
• 401(k) Savings and Investment Plan with company matching
• Flexible vacation policy
• 8 paid holidays annually
• Sick leave
• Paid parental leave
• Employee Assistance Program (EAP) and Care Counselors
• Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
• Health Savings Account (HSA) with employer contribution
• SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation

Company Overview

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