# Machine Learning Engineer, Assistant Quality 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: San Francisco, CA
- Work setup: On-site
- Pay: $180K to $205K base salary per year (USD)
- Posted: 2026-08-03
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/gleanwork/jobs/4711484005
- Page: https://www.1752.vc/careers/jobs/glean-machine-learning-engineer-assistant-quality/

## About the role

Glean is seeking a Machine Learning Engineer to improve the quality of our AI Assistant and autonomous agents. This role sits at the intersection of production machine learning, LLM-powered systems, and product engineering, with a focus on building, evaluating, and iterating on assistant experiences that are useful, reliable, and grounded in real enterprise workflows.

## What they're looking for

- 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 systems, not just prototypes or research projects
- Experience in one or more of the following areas: LLM applications, NLP, search, retrieval, recommendations, evaluation frameworks, agent systems, or personalization
- Comfort working across both modeling and product engineering details, including experimentation, quality measurement, and production iteration
- Proficiency in common ML tooling and strong software engineering fundamentals in languages such as Python, Go, Java, or C++
- A pragmatic, product-minded approach. You know when to use sophisticated ML techniques and when simple, reliable systems are the better answer

Tags: Engineering