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# Machine Learning Engineer

- **Company:** Greenhouse Software, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $140,000.0 - $265,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), C++ (Programming Language), Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Large Language Models, Information Technology, Production Code, Search Engines, Software Coding, Golang
- **Published:** September 26, 2026
- **Apply:** https://job-boards.greenhouse.io/gleanwork/jobs/4738120005

## About the Role

* 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++, ...)
 * 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

## Description

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