Machine Learning Engineer, Assistant Quality
$180k - $205k • San Francisco, CA
Posted 1mo ago
About the job
Glean is seeking a Machine Learning Engineer to enhance the quality of its AI Assistant and autonomous agents. This role focuses on production machine learning, LLM-powered systems, and product engineering, with an emphasis on building, evaluating, and refining assistant experiences to be useful, reliable, and grounded in enterprise workflows. The ideal candidate is driven by shipping production systems rather than pure research and is eager to improve Glean's assistant through stronger signals, tighter feedback loops, and better end-to-end execution quality.
Responsibilities
- Build and improve ML and LLM-powered systems to enhance the quality of Glean's AI Assistant and autonomous agents.
- Design evaluation, benchmarking, and monitoring systems to measure assistant quality, model quality, and overall system performance.
- Develop and iterate on signals, prompts, workflows, and model logic to improve reasoning, planning, personalization, and task completion.
- Work on areas like RAG, semantic search, recommendation systems, post-training or reinforcement learning, and agent orchestration to improve product outcomes.
- Collaborate with product, design, and engineering teams to address customer needs and deliver high-quality production systems.
- Contribute to the data and ML infrastructure required for robust experimentation, evaluation, and continuous model improvement.