Senior Machine Learning Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Design, develop, and implement machine learning and AI-driven solutions for intricate identity security issues.

• Take ownership of research, prototyping, and execution across traditional ML functions and agentic AI systems.

• Assess and utilize foundational models, agents, fine-tuning, and frameworks for model evaluation.

• Convert AI research and prototypes into practical, production-ready systems.

• Enhance model quality, accuracy, reliability, and scalability.

• Establish and promote best practices in ML engineering, testing, observability, and architecture.

• Articulate complex AI and ML concepts to both technical and non-technical audiences.

• Collaborate with product managers and engineering teams to define and deliver AI functionalities.

• Work cross-functionally with platform and analytics teams to integrate solutions within SailPoint's ecosystem.

• Participate in model lifecycle management, AI governance, and responsible AI practices.

• Develop an understanding of SailPoint's AI vision, architecture, initiatives, data pipelines, platforms, and deployment frameworks.

• Contribute to comprehensive ML or AI projects and AI-powered workflows, agents, or prototypes.

• Drive improvements in AI product performance, scalability, reliability, and customer impact.

• Contribute to reusable ML and AI platform components and engage in technical roadmap discussions.

• Deliver high-impact AI solutions from conception to production.

• Mentor colleagues and promote the adoption of emerging AI technologies.

⛳️ Requirements

• Over 5 years of professional experience in machine learning, AI, or a related technical domain.

• Extensive expertise in machine learning with hands-on experience in building and deploying production ML systems.

• Experience in developing AI-powered applications using LLMs, retrieval-augmented generation (RAG), prompt engineering, agent frameworks, or similar technologies.

• Demonstrated experience applying anomaly detection, semantic search, embeddings, similarity measurement, classification, or ranking to real-world issues.

• Strong programming skills in Python.

• Proficiency with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.

• Solid understanding of data modeling, feature engineering, statistical analysis, experimentation, and model evaluation.

• Proven ability to build and maintain ML systems in production settings.

• Strong foundations in software engineering, including testing, modularization, code reviews, observability, and operational excellence.

• Familiarity with MLOps practices, including model monitoring, experiment tracking, retraining, and CI/CD.

• Excellent communication and collaboration abilities, with a track record of working across cross-functional teams.

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

• Preferred: Experience in cybersecurity, identity, or enterprise SaaS systems.

• Preferred: In-depth expertise in NLP, Behavioral Modeling, Time Series, Graph ML, Search, or Recommendation Systems.

• Preferred: Experience overseeing the technical design and delivery of complex ML or AI capabilities.

• Preferred: Background in designing or implementing AI agents, agentic workflows, or autonomous AI systems.

• Preferred: Hands-on experience in building and deploying ML and AI applications in cloud-native environments.

• Preferred: Proven history of delivering measurable business impact through AI and machine learning solutions.

🏝️ Benefits

• Medical, dental, and vision insurance.

• Short-term and long-term disability coverage.

• 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.

• Options for Legal Assistance, Critical Illness, Accident, Hospital Indemnity, and Pet Insurance.

• Health Savings Account (HSA) with employer contribution.

• Potential eligibility for SailPoint Corporate Bonus Plan or role-specific commission.

• Potential eligibility for equity participation.