Machine Learning Engineer, AI Assistant + Autonomous AI Agents

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.

At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map 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 a broad range of data: enterprise and world, structured and unstructured, historical and real-time.

About the Role

Glean is looking for senior engineers who will provide expert-level individual contributions and thought leadership to help build the next generation of intelligent enterprise AI assistants and autonomous AI agents. Work sits at the intersection of applied research and production engineering in areas such as agentic frameworks, LLM orchestration, low-latency LLM inference and optimization, domain-adapted and memory-augmented LLMs, reinforcement learning, and building evaluation frameworks for complex enterprise tasks.

You will work closely with customers to understand pain points and apply a mix of research-driven and pragmatic engineering approaches to solve them.

Responsibilities

• Build frameworks for LLM-powered agents to use tools and knowledge sources effectively
• Invent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistants
• Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems
• Lead development of scalable evaluation, benchmarking, and optimization loops for agents in production
• Drive technical strategy and mentor other engineers, raising the technical bar across the team
• Write robust, maintainable, and well-tested code that powers enterprise-grade assistants and agents

Requirements

• 2+ years as a Staff Engineer, Principal Engineer, or equivalent
• 5+ years of industry experience in AI or Machine Learning Engineering
• Experience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learning
• Proven ability to design, build, and ship production-ready systems
• Proficiency in your ML framework of choice
• Strong coding skills (Python, Go, Java, C++, ...)
• Thrive in a customer-focused, tight-knit and cross-functional environment; team player willing to take on the most impactful work
• A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features

Location

This role is hybrid (3–4 days a week in one of Glean’s San Francisco Bay Area offices).

Compensation & Benefits

The standard base salary range for this position is $240,000 - $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, the opportunity to contribute to a 401(k) plan, a home office improvement stipend, and annual education and wellness stipends. The company fosters a vibrant culture through regular events and provides healthy lunches daily.