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Machine Learning Engineer, Search Quality

On-site
GleanSan Francisco, CA, US3 hours agoWebsite
Fresh
Engineering

Compensation

Salary undisclosed
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Description

 
About the Role:
 
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
About you:
  • 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
Location: 
  • This role is hybrid (4 days a week in our San Francisco office)
Compensation & Benefits:
 
The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
 
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
 
We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
 
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Stack

LLMsPythonC++JavaMachine LearningNLP
Posted
Sep 25, 2026
Last seen
Sep 25, 2026
First seen
Sep 25, 2026

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