Startups · AI

Machine Learning Engineer, Enterprise Brain

Glean · Mountain View, CA · On-site

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About Glean

Glean is the Enterprise AI platform connected to your enterprise's data. Find, create, and automate anything. Explore what Glean can do for you! Backed by General Catalyst, Kleiner Perkins and Lightspeed.

About the role

Glean is seeking a few Machine Learning engineers who want to focus on a combination of Quality and traditional ML work to help us build the Enterprise Brain. The Enterprise Brain team is developing a suite of proactive AI products that aims to revolutionize enterprise workflows by proactively detecting and automating tasks for users - thus unlocking true productivity. This is built on top of a deep user understanding and state of the art Enterprise graph. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • You bring 6+ years of industry experience in machine learning engineering
  • You hold a BA/BS in computer science, math, sciences, or a related field
  • You have a proven ability to design, build, and ship production-ready models and systems
  • You bring demonstrated expertise in ML evaluation, benchmarking, and data quality
  • You are proficient in an ML framework of your choice, such as TensorFlow or PyTorch
  • You thrive in a fast-moving, ambiguous environment, turning open-ended customer and ML problems into clear priorities and production-ready solutions
More about this role

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 - without vendor lock-in or costly implementation cycles.

At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.

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Read the full posting on Glean's site ↗

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