Senior Machine Learning Engineer

🕒 March 9

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Logo of SailPoint

SailPoint

1001 - 5000 employees

Founded 2005

🔒 Cybersecurity

🏢 Enterprise

☁️ SaaS

Cybersecurity • Enterprise • SaaS

SailPoint is a leader in identity security solutions, providing an intelligent and autonomous platform designed to meet the evolving security needs of modern enterprises. Their products, including IdentityIQ and Identity Security Cloud, offer a unified and comprehensive approach to managing and securing enterprise identities. SailPoint helps organizations mitigate cyber risks, improve IT efficiency, and maintain compliance through advanced capabilities such as cloud infrastructure entitlement management, non-employee risk management, and data access security. By integrating AI and machine learning, SailPoint enables organizations to streamline identity processes, enhance security measures, and accelerate onboarding. They serve multiple industries, including education, financial services, government, and healthcare, by offering tailored identity governance and administration solutions.

📋 Description

• 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.

🎯 Requirements

• 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. • Preferred 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

• Health and wellness coverage: Medical, dental, and vision insurance • Disability coverage: Short-term and long-term disability • Life protection: Life insurance and Accidental Death & Dismemberment (AD&D) • Additional life coverage options: Supplemental life insurance for employees, spouses, and children • Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account • Financial security: 401(k) Savings and Investment Plan with company matching • Time off benefits: Flexible vacation policy • Holidays: 8 paid holidays annually • Sick leave • Parental support: Paid parental leave • Employee Assistance Program (EAP) and Care Counselors • Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options • Health Savings Account (HSA) with employer contribution

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