Machine Learning Engineer, Enterprise Brain

Glean

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profile Job Location:

San Francisco, CA - USA

profile Yearly Salary: $ 200000 - 300000
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Job Summary

About Glean:

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys 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 Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys 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 Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.

If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more - deeply embedded where people get things done. Youll 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 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.

You will:

  • Work on deeply challenging ML problems involving user understanding and task prediction.
  • Invent new LLM workflows and signals to improve reasoning planning and personalization.
  • Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of understanding prediction and other agentic systems.
  • Lead development of scalable evaluation benchmarking and optimization loops.
  • Build and maintain robust ML pipelines for enterprise and knowledge graph construction.
  • Drive initiatives to measure monitor and improve data quality model quality and end-to-end system performance.
  • Collaborate with cross-functional teams to deeply understand customer pain points and deliver high-quality production-ready ML solutions.
  • Mentor junior engineers or learn from experienced ones in a tight-knit high-velocity environment.

About you:

  • 3 years of industry experience in AI or Machine Learning Engineering.
  • BA/BS in computer science math sciences or a related field.
  • Experience with search recommendation natural language processing or other large-scale ML systems.
  • Proven ability to design build and ship production-ready models and systems.
  • Demonstrated expertise in ML evaluation benchmarking and data qualityideally with experience in building or maintaining evaluation frameworks for complex enterprise tasks.
  • Proficiency in your ML framework of choice (e.g. TensorFlow PyTorch).
  • Strong coding skills (Python Go Java C etc.).
  • Thrive in a customer-focused cross-functional environment; a proactive and positive attitude is a must.

Location:

  • This role is hybrid (4 days a week in our Palo Alto or SF offices)

Compensation & Benefits:

The standard base salary range for this position is $200000 - $300000 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 youll 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 are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were committed to an inclusive and diverse company. We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race.

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About Glean:Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys 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 10...
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Key Skills

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Glean was created to deliver healthy and fresh foods - made directly from fruits and vegetables - into your hands! Sweet Potato Flour & Pumpkin Flour now available. Our team is made up of a handful of passionate people who have worked in food and agriculture most of their careers - ... View more

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