Machine Learning Engineer, Assistant Quality

Glean
San Francisco
Workplace: HybridFull timeUSD 180,000 - 205,000 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Product-minded","Pragmatic","Proactive","Low-ego","High-velocity learning"]

Build and improve ML and LLM-powered systems that raise the quality of an AI assistant and autonomous agents across real enterprise workflows. Design evaluation, benchmarking, and monitoring loops to measure assistant and end-to-end system performance. Develop signals, prompts, workflows, and model-driven logic to improve reasoning, personalization, and task completion. Work on RAG, search, recommendations, reinforcement learning, and agent orchestration while partnering with product and engineering.

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Glean
Glean
1 day ago

Machine Learning Engineer, Assistant Quality

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and improve ML and LLM-powered systems that raise the quality of an AI assistant and autonomous agents across real enterprise workflows. Design evaluation, benchmarking, and monitoring loops to measure assistant and end-to-end system performance. Develop signals, prompts, workflows, and model-driven logic to improve reasoning, personalization, and task completion. Work on RAG, search, recommendations, reinforcement learning, and agent orchestration while partnering with product and engineering.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and improve ML and LLM-powered systems that raise the quality of an 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 performance.
  • •Develop and iterate on signals, prompts, workflows, and model-driven logic to improve reasoning, planning, personalization, and task completion.
  • •Work across areas such as RAG, semantic search, recommendation-style systems, post-training or reinforcement learning, and agent orchestration.
  • •Partner with product, design, and engineering teams to understand customer pain points and ship high-quality production systems quickly.

Pay and Benefits

Salary: USD 180,000 - 205,000 annually
Perks:MedicalVisionDental401kHome OfficeLearning BudgetWellness Stipend

Key Requirements

  • •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 ML systems (not just prototypes or research).
  • •Experience with one or more areas such as LLM applications, NLP, search, retrieval, recommendations, evaluation frameworks, agent systems, or personalization.
  • •Comfort working across modeling and product engineering details, including experimentation and quality measurement.
  • •Proficiency in common ML tooling and strong software engineering fundamentals in languages such as Python, Go, Java, or C++.
Experience:2+ years
Skills:Product-mindedPragmaticProactiveLow-egoHigh-velocity learning
Languages:En
Tech Stack:Machine LearningLLMNLPRAGSemantic searchRecommendation systemsReinforcement learningAgent orchestrationEvaluation frameworksPythonGoJavaC++Model-driven logic

Company Brief

Glean
Provides an enterprise search and knowledge discovery platform that helps organizations find information across apps, drives, and internal tools, improving employee productivity and onboarding through AI-powered search and relevance ranking.
Industry: Enterprise Software
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn