23 hours ago
Remote, United States or Remote, CanadaSenior
Base Salary
$125k - $211k/yr
Responsibilities
- Design, develop, deploy, and operate machine learning and AI-powered solutions for identity security challenges.
- Own research, prototyping, and implementation across classical ML capabilities and agentic AI systems using foundation models, RAG, and orchestration frameworks.
- Evaluate and apply foundation models, agents, fine-tuning, and model evaluation frameworks to create product capabilities.
- Translate research and prototypes into production-ready systems and improve model quality, accuracy, reliability, and scalability.
- Implement best practices in ML engineering, testing, observability, architecture, model lifecycle management, AI governance, and responsible AI.
- Partner with product managers, engineering, platform, and analytics teams to deliver integrated AI capabilities.
- Contribute to model monitoring, experiment tracking, retraining, deployment processes, and operational reliability.
- Communicate complex AI and ML concepts to technical and non-technical stakeholders and mentor peers.
Requirements
- At least 5 years of professional experience in machine learning, AI, or a related technical field.
- Deep machine learning expertise and experience building and deploying production ML systems.
- Experience building AI-powered applications using LLMs, retrieval-augmented generation, prompt engineering, agent frameworks, or related technologies.
- Experience applying anomaly detection, semantic search, embeddings, similarity measurement, classification, or ranking to real-world problems.
- Strong Python programming skills and proficiency with PyTorch, TensorFlow, or scikit-learn.
- Understanding of data modeling, feature engineering, statistical analysis, experimentation, and model evaluation.
- Experience building and operating ML systems in production environments.
- Strong software engineering fundamentals, including testing, modularization, code reviews, observability, and operational excellence.
- Knowledge of MLOps practices including model monitoring, experiment tracking, retraining, and CI/CD.
- Excellent communication and cross-functional collaboration skills.
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
- Preferred qualifications include cybersecurity, identity, enterprise SaaS, NLP, behavioral modeling, time series, graph ML, search, recommendation systems, AI agents, autonomous AI systems, cloud-native ML applications, and ownership of complex ML or AI delivery.
Benefits
- Medical, dental, and vision insurance.
- Short-term and long-term disability coverage.
- Life insurance, AD&D, and supplemental life insurance options.
- Flexible spending accounts, limited-purpose flexible spending accounts, and an HSA with employer contribution.
- 401(k) Savings and Investment Plan with company matching.
- Flexible vacation policy, eight paid holidays annually, and sick leave.
- Paid parental leave.
- Employee Assistance Program and Care Counselors.
- Optional legal assistance, critical illness, accident, hospital indemnity, and pet insurance.
Tech Stack
Categories
About SailPoint
SailPoint builds identity security software for large enterprises, covering identity governance, access management, automated provisioning, and compliance controls across cloud and on‑prem systems. It sells primarily via subscription licenses and enterprise services. Founded in 2005 and headquartered in Austin, Texas, SailPoint is owned by Thoma Bravo and serves complex, security‑sensitive organizations that need to manage workforce and machine identities at scale.