Machine Learning Engineer, Enterprise Brain

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 - 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.

About the role

Glean is seeking Machine Learning Engineers to focus on a combination of quality and traditional ML work to build the Enterprise Brain. The Enterprise Brain team develops proactive AI products that detect and automate tasks for users, built on deep user understanding and a state-of-the-art enterprise graph. The work involves LLMs and other advanced ML techniques, agent orchestration, and cutting-edge ranking techniques.

Responsibilities

• Work on 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 understanding, prediction, and 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 understand customer pain points and deliver production-ready ML solutions.
• Mentor junior engineers and work in a tight-knit, high-velocity environment.

Requirements

• 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 quality; experience building or maintaining evaluation frameworks for complex enterprise tasks is desirable.
• Proficiency in ML frameworks (e.g., TensorFlow, PyTorch).
• Strong coding skills (Python, Go, Java, C++, etc.).
• Thrive in a customer-focused, cross-functional environment; proactive and positive attitude.

Location

This role is hybrid: 4 days a week in Glean's Palo Alto or San Francisco offices (San Francisco Bay Area).

Compensation & Benefits

The standard base salary range for this position is $200,000 - $300,000 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.

Glean offers a comprehensive benefits package including Medical, Vision, and Dental coverage, generous time-off policy, a 401(k) plan, home office improvement stipend, annual education and wellness stipends, regular company events, and daily healthy lunches.

Equal opportunity

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