HiredinAI LogoHiredinAI
JobsCompaniesJob Alerts
  1. Home
  2. chevron_right
  3. LLM Engineer
  4. chevron_right
  5. Machine Learning Engineer - LLM Evals + Observability

Machine Learning Engineer - LLM Evals + Observability

Glean
G
apartmentGleanlocation_onSan Francisco Bay Area (hybrid, 3-4 days a week in one of our SF Bay Area offices)schedulePosted 22 days ago
Full-timeMachine LearningLLMEvaluationObservability$200,000 - $300,000

About the Role

Building a great AI assistant is only half the battle – knowing whether it's actually great is the other half. Our team owns the measurement and quality layer that make Glean's Assistant and Agents reliably better over time: evaluation pipelines, quality evalsets, LLM-powered judges, agent observability, and the tooling engineers use to understand what changed and why. It's a rare combination of infrastructure engineering, applied ML, and direct product impact. If you care deeply about quality and want to build the systems that make it measurable, this role is for you. Glean is the Work AI platform that helps everyone work smarter with AI, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities — AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.

Responsibilities

  • Design and curate evaluation datasets – sampling strategies, query diversity, and golden sets that give reliable, representative coverage of real assistant behavior.
  • Build and maintain large-scale evaluation pipelines that measure assistant quality across thousands of real user queries.
  • Build LLM-powered judges that score metrics like correctness, completeness, and response quality, and align them against human judgment.
  • Evaluate new models and product changes before they ship – providing the quality signal that gates launches and prevents regressions.
  • Build observability infrastructure for AI agents: trace enrichment, data pipelines, and dashboards that make assistant behavior inspectable.
  • Close the loop between quality measurement and improvement using eval results, customer feedback, and techniques like automated prompt iteration to help drive concrete gains in assistant behavior.
  • Collaborate with engineers across the company to make evals a first-class part of how we ship.

Requirements

  • 2+ years of software engineering experience with strong coding skills.
  • Strong backend fundamentals in Go and Python; comfortable with distributed data pipelines.
  • Experience working with LLM evaluation, reinforcement learning from human feedback, natural language processing, or other large systems involving machine learning.
  • Analytically rigorous – you think carefully about what offline metrics actually predict about real user experience.
  • Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
  • You care about quality – not just in the systems you build, but in the product you're helping measure and improve.

Benefits

The standard base salary range for this position is $200,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

notifications_active

Similar Job Alerts

Get notified about new LLM Engineer roles.

expand_more
expand_more
Glean
G

Glean

View Companyarrow_forward
LLM EngineerSan Francisco Bay Area (hybrid

Frequently Asked Questions

How do I apply for this Machine Learning Engineer - LLM Evals + Observability position?

Click the "Apply Now" button on this page to be directed to the application. You will be taken to the employer's application page.

Is this position remote?

This role is based in San Francisco Bay Area (hybrid, 3-4 days a week in one of our SF Bay Area offices). Check the full description for remote or hybrid options.

What is the salary range?

The listed salary range for this position is $200,000 - $300,000. Final compensation may vary based on experience, qualifications, and location.

When was this job posted?

This position was posted 22 days ago. We recommend applying promptly as positions can fill quickly.

Explore More

attach_moneyAI Salary GuideschoolEntry Level AI JobscategoryMore LLM Engineer Jobs

Career Resources

article

AI Jobs Salary Guide 2026

Compensation data

article

AI-Proof Jobs: 25 Careers Safe from Automation

Career advice

article

The Complete Guide to AI Training Jobs

Industry guide

smart_toy
HiredinAI

Curated AI jobs across engineering, marketing, design, research, and more — from top companies and startups, updated daily.

alternate_emailworkcode

For Job Seekers

  • Browse Jobs
  • Job Categories
  • Companies
  • Remote AI Jobs
  • Entry Level Jobs
  • AI Salaries
  • Job Alerts
  • Career Blog

For Employers

  • Post a Job
  • Pricing
  • Employer Login
  • Dashboard

Resources

  • Blog
  • AI Glossary
  • Career Advice
  • Salary Guides
  • Industry News

AI Jobs by City

  • San Francisco
  • New York
  • London
  • Seattle
  • Toronto
  • Remote

Company

  • About Us
  • Contact
  • Privacy Policy
  • Terms of Service
  • Guidelines
  • DMCA

© 2026 HiredinAI. All rights reserved.

SitemapPrivacyTermsCookies