Machine Learning Engineer, AI Assistant & Autonomous AI Agents

Glean Glean · Enterprise · Mountain View, CA · Engineering

Glean is seeking senior Machine Learning Engineers to build the next generation of intelligent enterprise AI assistants and autonomous AI agents. The role involves working on agentic frameworks, LLM orchestration, inference optimization, domain adaptation, reinforcement learning, and evaluation frameworks for complex enterprise tasks. The engineer will lead development, drive technical strategy, and mentor others, focusing on shipping agentic capabilities on an open, extensible stack.

What you'd actually do

  1. Build frameworks for LLM-powered agents to use tools and knowledge sources effectively
  2. Invent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistants
  3. Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems
  4. Lead development of scalable evaluation, benchmarking, and optimization loops for agents in production
  5. Drive technical strategy and mentor other engineers, raising the technical bar across the team

Skills

Required

  • 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++)

Nice to have

  • Thrive in a customer-focused, tight-knit and cross-functional environment
  • A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features

What the JD emphasized

  • autonomous AI agents
  • agentic frameworks
  • LLM orchestration
  • low latency LLM inference and optimization
  • domain adapted and memory augmented LLMs
  • reinforcement learning
  • building evaluation frameworks for complex enterprise tasks
  • agentic capabilities
  • enterprise trust
  • agentic systems
  • agents in production

Other signals

  • AI agents
  • LLM orchestration
  • reinforcement learning
  • evaluation frameworks
  • production engineering