Machine Learning Engineer, Assistant Quality
Core
Build and improve ML and LLM-powered systems to raise the quality of Glean's AI Assistant and autonomous agents across real user workflows.
Role type
Senior IC machine learning engineer (LLM/agent quality)
Builds
Production AI Assistant and autonomous agent systems
Domain
Enterprise Work AI, LLM applications, agentic workflows
Deliverable
production ML models | product features
Required skills
LLM applications, NLP, search, retrieval, recommendations, evaluation frameworks, agent systems, personalization, experimentation, quality measurement, production iteration, Python, Go, Java, C++
Preferred skills
RAG, semantic search, post-training, reinforcement learning, agent orchestration
Responsibilities
Build and improve ML/LLM systems for assistant quality; Design evaluation, benchmarking, and monitoring loops; Develop signals, prompts, and workflows for reasoning and task completion; Partner with product and design to ship high-quality systems; Contribute to data and ML infrastructure for experimentation and continuous improvement
Seniority
Senior, hands-on IC
