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Machine Learning Engineer, Assistant Quality

Glean· Engineering
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Hybrid (San Francisco, CA)$180k - $205kPosted 2mo ago

About the role

Glean is seeking a Machine Learning Engineer to improve the quality of its AI Assistant and autonomous agents, focusing on production ML, LLM-powered systems, and product engineering to enhance assistant usefulness, reliability, and grounding in enterprise workflows.

Responsibilities

  • Build and improve ML and LLM-powered systems that raise the quality of Glean’s AI Assistant and autonomous agents across real user workflows.
  • Design evaluation, benchmarking, and monitoring loops to measure assistant quality, model quality, and end-to-end system performance.
  • Develop and iterate on signals, prompts, workflows, and model-driven logic that improve reasoning, planning, personalization, and task completion quality.
  • Work across areas such as RAG, semantic search, recommendation-style systems, post-training or reinforcement learning, and agent orchestration where they materially improve product outcomes.
  • Partner closely with product, design, and engineering teammates to understand customer pain points and ship high-quality production systems quickly.
  • Contribute to the data and ML infrastructure needed to support robust experimentation, offline and online evaluation, and continuous model improvement.

Qualifications

  • 2+ years of industry experience in machine learning, applied AI, or software engineering with significant ML ownership.
  • Strong hands-on coding ability and a track record of shipping production systems, not just prototypes or research projects.
  • Experience in one or more of the following areas: LLM applications, NLP, search, retrieval, recommendations, evaluation frameworks, agent systems, or personalization.
  • Comfort working across both modeling and product engineering details, including experimentation, quality measurement, and production iteration.
  • Proficiency in common ML tooling and strong software engineering fundamentals in languages such as Python, Go, Java, or C++.
  • A pragmatic, product-minded approach. You know when to use sophisticated ML techniques and when simple, reliable systems are the better answer.
  • A proactive, low-ego working style and excitement about learning quickly in a high-velocity environment.

Skills

Required:Machine Learning engineeringPythonGo, Java, or C++LLM/NLPExperimentation and production iterationCross-functional collaboration
Nice to have:Evaluation frameworksRAG, retrieval, or personalization

Benefits

  • Medical, Vision, and Dental coverage
  • generous time-off policy
  • 401k plan
  • home office improvement stipend
  • annual education and wellness stipends
  • regular events and healthy lunches
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Glean

Work AI that Works | Agents, Assistant & Search

Glean is the Work AI platform connected to your enterprise's data. Find, create, and automate anything. Explore what Work AI can do for you!

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