About the job
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.
Responsibilities
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
Qualifications
Minimum
2+ years of experience
BA/BS in computer science, math, sciences, or a related degree
Experience working with search, recommendation, natural language processing, or other large systems involving machine learning
Strong analytical skills and ability to work with data
Proven ability to design, build, and ship production-ready models
Proficiency in your ML framework of choice
Strong coding skills (Python, Go, Java, C++, ...)
Preferred
Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must
A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features