Machine Learning Engineer, Ai Assistant & Autonomous Ai Agents

Glean

Mountain View, CA, United States
Base: $240,000 - $300,000 annually; bonus/equity: ...
Hybrid (3-4 days a week in one of our sf bay area offices)
5+ years ai or ml engineering experience
Agentic frameworks and llm orchestration
Reinforcement learning and fine-tuning
Glean is seeking a Machine Learning Engineer specializing in AI Assistants and Autonomous AI Agents to contribute to their innovative Work AI platform. The ideal candidate will have extensive experience in machine learning, particularly with agentic frameworks and reinforcement learning, and will work in a hybrid role based in the San Francisco Bay Area

Job Summary

  • Glean is building a Work AI ecosystem that powers intelligent search, AI assistants, and scalable AI agents on a secure platform.
  • The role involves inventing new agentic architectures and optimizing reinforcement learning approaches to improve reasoning and planning in workplace AI.
  • Candidates will drive technical strategy, mentor engineers, and ship robust code for enterprise-grade assistants used daily across major SaaS tools.

Matching Summary

Match Score: 85

Glean is seeking a Machine Learning Engineer specializing in AI Assistants and Autonomous AI Agents to contribute to their innovative Work AI platform. The ideal candidate will have extensive experience in machine learning, particularly with agentic frameworks and reinforcement learning, and will work in a hybrid role based in the San Francisco Bay Area.

Salary

Base: $240,000 - $300,000 annually; Bonus/Equity: Variable compensation and equity eligible; Benefits: Medical, Vision, Dental, generous time-off, 401k

Skills & Requirements

Must-have

  • 5+ years AI or ML engineering experience
  • Agentic frameworks and LLM orchestration
  • Reinforcement learning and fine-tuning
  • Production-ready system design
  • Python, Go, Java, or C++ proficiency

Nice-to-have

  • Customer-focused cross-functional collaboration
  • Technical strategy and mentorship
  • Evaluation framework development
  • Domain adapted memory augmented LLMs
  • Low latency inference optimization

Key Requirements

  • 2+ years as Staff or Principal Engineer
  • 5+ years industry experience in AI/ML
  • Proven ability to ship production systems
  • Strong coding skills in Python, Go, Java, or C++

Work Rights

Not specified

Tailored Resume

Cover Letter