Job Details

Machine Learning Engineer - AI Assistant + Autonomous AI Agents

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About Glean

Founded in 2019, Glean is an AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating with tools like Google Drive, Slack, and Microsoft Teams, Glean helps employees access the right knowledge at the right time, boosting productivity and collaboration. The company's AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

About the Role

Glean is looking for senior engineers who will provide expert-level individual contributions and thought leadership to help us build the next generation of intelligent enterprise AI assistants and autonomous AI agents. You will work 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. We work closely with our customers to understand pain points and solve them with a mix of research-driven and pragmatic engineering approaches.

You Will

• 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

About You

• 2+ years as a Staff Engineer, Principal Engineer, or equivalent
• 5+ years of industry experience in AI or Machine Learning Engineering
• Experience with agentic frameworks, reinforcement learning, natural language processing, or other large ML systems
• Proven ability to design, build, and ship production-ready systems
• Proficiency in your ML framework of choice
• Strong coding skills (Python, Go, Java, C++, ...)
• Thrives in a customer-focused, cross-functional environment and is willing to take on high-impact work
• Proactive and positive attitude to lead, learn, troubleshoot, and own both small tasks and large features

Location

• This role is hybrid (3-4 days a week in one of our SF 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. Some roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan. Additional stipends include a home office improvement stipend and yearly education and wellness stipends. We foster a vibrant company culture with regular events and healthy meals.

EEO and Inclusion

We are a diverse team and are committed to an inclusive workforce. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Software Development

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