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GleanGleanMountain View, CA

Machine Learning Engineer, Enterprise Brain

Machine Learning Engineer building the Enterprise Brain - a proactive AI system for task detection, automation, reasoning, planning and personalization using LLMs, RL, fine-tuning, and advanced ranking on top of enterprise and personal knowledge graphs. Requires 3+ years ML experience, strong production ML skills, and expertise in evaluation/benchmarking.

200k – 300k/yr
Hybrid3+ YOEML Engineering

About the role

Responsibilities

  • Work on deeply challenging ML problems involving user understanding and task prediction.
  • Invent new LLM workflows and signals to improve reasoning, planning, and personalization.
  • Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of understanding, prediction and other agentic systems.
  • Lead development of scalable evaluation, benchmarking, and optimization loops.
  • Build and maintain robust ML pipelines for enterprise and knowledge graph construction.
  • Drive initiatives to measure, monitor, and improve data quality, model quality, and end-to-end system performance.
  • Collaborate with cross-functional teams to deeply understand customer pain points and deliver high-quality, production-ready ML solutions.
  • Mentor junior engineers or learn from experienced ones in a tight-knit, high-velocity environment.

Requirements

  • 3+ years of industry experience in AI or Machine Learning Engineering.
  • BA/BS in computer science, math, sciences, or a related field.
  • Experience with search, recommendation, natural language processing, or other large-scale ML systems.
  • Proven ability to design, build, and ship production-ready models and systems.
  • Demonstrated expertise in ML evaluation, benchmarking, and data quality—ideally with experience in building or maintaining evaluation frameworks for complex enterprise tasks.
  • Proficiency in your ML framework of choice (e.g., TensorFlow, PyTorch).
  • Strong coding skills (Python, Go, Java, C++, etc.).
  • Thrive in a customer-focused, cross-functional environment; a proactive and positive attitude is a must.

Nice-to-Haves

  • Experience building or maintaining evaluation frameworks for complex enterprise tasks.

Compensation & Benefits

  • Base salary range: $200,000 - $300,000 annually.
  • Eligible for variable compensation, equity, and benefits.
  • Comprehensive benefits: Medical, Vision, Dental coverage; generous time-off; 401k plan.
  • Home office improvement stipend; annual education and wellness stipends.
  • Healthy lunches daily; regular company events.

Skills

Machine LearningLLMsReinforcement LearningFine-TuningPyTorchTensorFlowPythonNatural Language ProcessingSearch SystemsRecommendation SystemsEvaluation FrameworksBenchmarkingKnowledge Graph

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