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Glean is a Work AI platform that combines enterprise search, AI assistants, and scalable AI agents on a secure, open platform. The company has evolved from advanced enterprise search into a full-scale ecosystem with 100+ enterprise SaaS connectors, flexible LLM choice, and robust APIs. Glean serves 1,000+ employees across 50+ industries in 25+ countries and has been recognized by Fast Company (Top 10 Most Innovative), CNBC's Disruptor 50, Bloomberg's AI Startups to Watch, Forbes AI 50, and Gartner's Tech Innovators in Agentic AI.
As a Machine Learning Engineer on the Search Quality team, you will work on systems across the stack including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. Your responsibilities include inventing new signals to improve search personalization, training models to capture interactions between signals in the ranking system, designing methods to domain-adapt language models to each customer's corpus, and discovering ways to combine LLMs with search engines for complex question-answering.
You will write robust, maintainable, and testable code while collaborating with engineers at various experience levels—mentoring junior engineers or learning from battle-tested senior ones. The role emphasizes deep customer understanding and pragmatic problem-solving, using whatever tools are necessary to address real pain points in enterprise search and AI-assisted work.
The position is based in Mountain View, CA, embedded within a team shipping agentic capabilities on an extensible stack with enterprise-grade security and governance.
