Hiring: Sr. Machine Learning Engineer Company: SailPoint Location: United States Job Posted Time: 2026-09-16 15:08:05 Target Skills & Keywords : Clean Architecture, Fine-tuning, LESS, LLM, Machine Learning, RAG, TestNG About the job Experience: •5+ years of professional experience in machine learning, AI, or a related technical field. Required Skills: •As a Senior Machine Learning Engineer, you will play a critical role in shaping, building, and scaling SailPoint's AI-powered capabilities. We are looking for a strong machine learning practitioner with deep machine learning expertise and hands-on experience developing and deploying both classical machine learning solutions and agentic AI systems. •You'll work at the intersection of AI innovation and software engineering, designing production-grade ML and AI systems that deliver customer insights, intelligent automation, and next-generation AI experiences across our identity platform. •The ideal candidate combines strong machine learning fundamentals with hands-on experience applying modern AI techniques, including foundation models, retrieval-augmented generation (RAG), and agentic workflows to solve real-world customer problems. •You will lead complex, end-to-end AI initiatives, from model design and experimentation to deployment, monitoring, and continuous improvement. •About the team: •The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity security. We believe the path to success is through meaningful customer outcomes, and we leverage classical ML as well as recent innovations in Generative AI and Graph ML to bring our solutions to SailPoint’s core product lines. •Responsibilities •Design, develop, and deploy machine learning and AI-powered solutions to solve complex identity security challenges. •Own research, prototyping, and implementation efforts across both classical ML capabilities (e.g., semantic search, behavioral modeling, embeddings) and agentic AI systems leveraging foundation models, RAG, and orchestration frameworks. •Evaluate and apply modern AI techniques, including foundation models, agents, fine-tuning, and model evaluation frameworks, to create new product capabilities. •Translate AI research and prototypes into practical, effective, and production-ready systems. •Drive improvements in model quality, accuracy, reliability, and scalability for the solutions you own. •Implement and advocate for best practices in ML engineering, testing, observability, and architecture. •Communicate complex AI and ML concepts to both technical and non-technical stakeholders. •Partner with product managers and engineering teams to scope and deliver high-impact AI capabilities. Qualifications: •5+ years of professional experience in machine learning, AI, or a related technical field. •Deep machine learning expertise with experience building and deploying production ML systems. •Experience building AI-powered applications using LLMs, retrieval-augmented generation (RAG), prompt Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!