Glean
Machine Learning Engineer, Assistant Quality
$180K–$205K
San Francisco, CA +1 · Full-time · Posted Aug 3, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- 2+ years of industry experience in machine learning, applied AI, or software engineering with significant ML ownership.
About the job
Build and improve production ML and LLM systems, evaluation loops, and agent experiences to make Glean’s AI Assistant and autonomous agents more reliable and effective in enterprise workflows.
What you'll do
- Build and improve ML and LLM-powered assistant and agent systems for real user workflows.
- Design evaluation, benchmarking, and monitoring to measure model, assistant, and end-to-end system quality.
- Develop quality-improvement signals, prompts, workflows, and model logic; partner across teams and support ML experimentation infrastructure.
What they ask for
- Strong coding ability and a record of shipping production systems.
- Experience in at least one area such as LLM applications, NLP, search, retrieval, recommendations, evaluation frameworks, agent systems, or personalization.
- Comfort with modeling, product engineering, experimentation, quality measurement, and production iteration.
- Proficiency with common ML tooling and software engineering fundamentals in languages such as Python, Go, Java, or C++.
Pay
USD $180,000 - $205,000 annually (base salary)
Tools
Python, Go, Java, C++, RAG
AI focus
Improve AI Assistant and autonomous-agent quality through production ML and LLM systems, evaluation, personalization, retrieval, orchestration, and model-driven improvements.
Model-written summary · the original posting is authoritative