G
Glean
Machine Learning Engineer (Enterprise Brain)
Skills
PyTorchTensorFlowMachine LearningAI
16 hours ago
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Important information
Contract type:
Permanent
Salary:
$200,000 – $280,000 / year
Location:
United States
Work mode:
Onsite
Published on:
22 October 2026
What they need
- Glean is seeking a few Machine Learning engineers who want to focus on a combination of Quality and traditional ML work to help us build the Enterprise Brain. The Enterprise Brain team is developing a suite of proactive AI products that aims to revolutionize enterprise workflows by proactively detecting and automating tasks for users - thus unlocking true productivity
- This is built on top of a deep user understanding and state of the art Enterprise graph. The project involves using both LLM and other advanced ML techniques, agent orchestration and cutting-edge ranking techniques
- 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- You balance speed with quality, making pragmatic tradeoffs to deliver measurable progress without losing sight of production readiness
- You are proficient in an ML framework of your choice, such as TensorFlow or PyTorch
- You have a proven ability to design, build, and ship production-ready models and systems
- You hold a BA/BS in computer science, math, sciences, or a related field
- You bring demonstrated expertise in ML evaluation, benchmarking, and data quality
- You thrive in a fast-moving, ambiguous environment, turning open-ended customer and ML problems into clear priorities and production-ready solutions
- You bring 6+ years of industry experience in machine learning engineering- As part of the interview process, you’ll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn’t required
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