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Glean

AI-powered enterprise search across applications

Machine Learning Engineer - Search Quality

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 2 years of experience.
  • A BA or BS in computer science, mathematics, 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.
  • Ability to design, build, and ship production-ready models.
  • Proficiency in an ML framework of choice.
  • Strong coding skills in languages such as Python, Go, Java, or C++.
  • Ability to work in a customer-focused, cross-functional environment and take on impactful work.
  • A proactive attitude and willingness to lead, learn, troubleshoot, and take ownership of tasks and features.

Responsibilities

  • Invent new signals to improve search-engine personalization.
  • Train a model to capture interactions between signals in the ranking system.
  • Design methods to domain-adapt language models to each customer’s corpus.
  • Explore ways to combine large language models with search engines to answer complex questions.
  • Write robust code that is easy to read, maintain, and test.
  • Mentor more junior engineers or learn from experienced engineers.

About the Company

Glean

AI-powered enterprise search across applications

Glean builds an AI-powered search and knowledge assistant that helps employees find information across all of a company's apps and data. Its core product is an enterprise search tool that understands natural language queries and retrieves relevant results from documents, conversations, tickets, and other sources, plus a chat assistant that can summarize and answer questions using that same information. The system uses deep learning language models that adapt to a company's own terminology and context, improving relevance without manual tuning, and it offers hosting options to align with security and data policies. Compared with competitors, Glean focuses on cross-application search, organization-specific language learning, and a combined search-and-chat experience that delivers direct answers and summaries from internal knowledge sources. Its goal is to help teams work faster by turning scattered information into easily accessible answers, reducing time spent searching.

Company size
1,001-5,000
Company stage
Series F
Total funding
$805M
Headquarters
Palo Alto, CA
Founded
2019

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