# Machine Learning Engineer, Enterprise Brain at Glean

- Company: Glean
- What the company does: Glean is the Enterprise AI platform connected to your enterprise's data. Find, create, and automate anything. Explore what Glean can do for you! Backed by General Catalyst, Kleiner Perkins and Lightspeed.
- Company website: https://www.glean.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Mountain View, CA
- Work setup: On-site
- Pay: $200K to $280K base salary per year (USD)
- Posted: 2026-10-16
- Apply by: 2026-11-30
- Apply: https://job-boards.greenhouse.io/gleanwork/jobs/4744818005?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/glean-machine-learning-engineer-enterprise-brain/

## About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- You bring 6+ years of industry experience in machine learning engineering
- You hold a BA/BS in computer science, math, sciences, or a related field
- You have a proven ability to design, build, and ship production-ready models and systems
- You bring demonstrated expertise in ML evaluation, benchmarking, and data quality
- You are proficient in an ML framework of your choice, such as TensorFlow or PyTorch
- You thrive in a fast-moving, ambiguous environment, turning open-ended customer and ML problems into clear priorities and production-ready solutions

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/glean-machine-learning-engineer-enterprise-brain/