Machine Learning Engineer, Assistant Quality

Build and improve ML and LLM-powered systems that raise the quality of Glean's AI Assistant and autonomous agents across real user workflows. Design evaluation, benchmarking, and monitoring loops to measure assistant quality, model quality, and end-to-end system performance. Develop signals, prompts, and workflows that improve reasoning, planning, personalization, and task completion. Work across RAG, semantic search, recommendation systems, post-training, and agent orchestration to materially improve product outcomes. Partner with product, design, and engineering to understand customer pain points and ship high-quality production systems quickly. Contribute to the data and ML infrastructure supporting robust experimentation and continuous model improvement. This role sits at the intersection of production machine learning, LLM-powered systems, and product engineering, focusing on shipping agentic capabilities on an open, extensible stack.