Machine Learning Engineer

Glean is looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems. You will: Invent new signals to improve the personalization of our search engine Train a model to capture interactions between signals in our ranking system Design smarter ways to domain-adapt language models to each customer’s corpus Discover new ways of combining LLMs with search engines to answer complex questions Write robust code that’s easy to read, maintain, and test Mentor more junior engineers, or learn from battle-tested ones