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Machine Learning Engineer, Enterprise Brain

gleanwork · Mountain View, CA · Mountain View, California, United States
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<div class="content-intro"><div><span style="font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0); font-size: 12pt;"><strong>About Glean:</strong></span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.</span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.</span></div></div><div> <div> <div> <p class="p8i6j03 paragraph"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">About the Role: </span></strong></p> <p class="p8i6j03 paragraph"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">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. The project involves using both LLM and other advanced ML techniques, agent orchestration and cutting-edge ranking techniques.</span></p> <p class="p8i6j03 paragraph"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">You will: </span></strong></p> <ul> <li class="p8i6j03 paragraph" style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Work on deeply challenging ML problems involving user understanding and task prediction. </span></li> <li class="p8i6j03 paragraph" style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Invent new LLM workflows and signals to improve reasoning, planning, and personalization. </span></li> <li class="p8i6j03 paragraph" style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of understanding, prediction and other agentic systems. </span></li> <li class="p8i6j03 paragraph" style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Lead development of scalable evaluation, benchmarking, and optimization loops. </span></li> <li class="p8i6j03 paragraph" style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Build and maintain robust ML pipelines for enterprise and knowledge graph construction. </span></li> <li class="p8i6j03 paragraph" style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Drive initiatives to measure, monitor, and improve data quality, model quality, and end-to-end system performance. </span></li> <li class="p8i6j03 paragraph" style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-fa

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