Glean aims to solve the problem of fragmented knowledge and inefficient information access in organizations by building an AI-powered enterprise search platform that helps employees quickly and intuitively access the information they need.
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++, ...)
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
Other
- Thriving in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
- A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features
- This role is hybrid (3-4 days a week in one of our SF Bay Area offices)
