Skip to Content
GenAIAI/ML On-site

Machine Learning Engineer, Enterprise Brain

Job Overview

Glean’s Enterprise Brain team builds applied ML systems that help Glean understand a user’s work and anticipate useful next steps, including task prediction and proactive assistance. The work combines LLMs and traditional ML with signals from the Enterprise Graph, ranking and retrieval, and orchestration.

Key points

  1. Define and solve applied ML problems involving user-work understanding, task prediction, and proactive assistance.

  2. Build and ship production ML systems, including the evaluation, benchmarking, and data-quality loops needed to measure their impact.

  3. Own the lifecycle from problem definition and baseline through launch, monitoring, and iteration.

  4. Partner with product and engineering to understand customer problems and deliver reliable, production-ready solutions.

  5. You hold a BA/BS in computer science, math, sciences, or a related field.

  6. You have a proven ability to design, build, and ship production-ready models and systems.

  7. You bring demonstrated expertise in ML evaluation, benchmarking, and data quality.

  8. You are proficient in an ML framework of your choice, such as TensorFlow or PyTorch.

Skills

Machine LearningLLMsGitTensorFlowPyTorchTicketing ToolsInterviewing

Experience: Mid-level · 6+ years

Similar jobs

More open roles like this one