# Machine Learning Engineer, Enterprise Brain Source: https://realanalystjobs.com/job/machine-learning-engineer-enterprise-brain-glean-d5cb0276 Machine Learning Engineer, Enterprise Brain at Glean, an on-site role based in Mountain View, California, USA. Experience level: 6+ Years. Pay stated in the posting: $200,000 to $280,000. Posted on 16 October 2026, read from Glean's own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Glean](https://realanalystjobs.com/companies/glean) - Location: Mountain View, California, USA - Work mode: On-site - Pay stated in the posting: $200,000 to $280,000 - Posted: Oct 16, 2026 - Employment type: Full time - Experience level: 6+ Years - Source: Glean's careers page (Greenhouse), re-checked daily ## About this role 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 - 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. 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. 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. About the Role: Glean’s Enterprise Brain team builds applied ML systems that help Glean understand a user’s work and anticipate useful next steps, including task prediction and proactive assistance. The work combines LLMs and traditional ML with signals from the Enterprise Graph, ranking and retrieval, and orchestration. You’ll own production ML problems from problem definition and evaluation through launch and monitoring, with a focus on measurable improvements to product quality. You will: • Define and solve applied ML problems involving user-work understanding, task prediction, and proactive assistance. • Combine LLMs and traditional ML with Enterprise Graph signals, ranking/retrieval, and orchestration to improve product quality. • Build and ship production ML systems, including the evaluation, benchmarking, and data-quality loops needed to measure their impact. • Own the lifecycle from problem definition and baseline through launch, monitoring, and iteration. • Partner with product and engineering to understand customer problems and deliver reliable, production-ready solutions About you: • 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. • You balance speed with quality, making pragmatic tradeoffs to deliver measurable progress without losing sight of production readiness. Location: • This role is hybrid (4 days a week in our Mountain View office) Compensation & Benefits: The standard base salary range for this position is $200,000 - $280,000 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. \#LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is Description from Glean's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-engineer-enterprise-brain-glean-d5cb0276) and use Apply now there to reach the employer's application. The listing is re-checked against Glean's careers page daily and removed when it closes. ## Glean 3 open analyst roles on Real Analyst Jobs. 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