Machine Learning Engineer, Search Quality

Details

About Glean

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business.

At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map relationships between people, content, and activity, delivering deeply personalized, context-aware responses. This foundation powers agentic capabilities that automate real work across teams by accessing a broad range of data: enterprise and world, structured and unstructured, historical and real-time.

About the Role

Glean is looking for engineers to help build the world’s best search and assistant product for work. Engineers work across the stack including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. Engineers interact regularly with customers to understand pain points and use whatever tool is necessary to solve them.

Responsibilities

• Invent new signals to improve personalization of the search engine
• Train models to capture interactions between signals in the 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, maintainable, and testable code
• Mentor more junior engineers and collaborate with senior engineers

Requirements

• 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++, ...)
• Ability to thrive in a customer-focused, cross-functional environment and take ownership of tasks and features

Location

This role is hybrid (3-4 days a week in one of our SF Bay Area offices).

Compensation & Benefits

• Base salary range: $140,000 - $265,000 annually. Compensation is determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
• Benefits include Medical, Vision, and Dental coverage, generous time-off policy, opportunity to contribute to a 401(k) plan, home office improvement stipend, annual education and wellness stipends, regular company events, and daily healthy lunches.

Glean is committed to diversity and inclusion and does not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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