Six Figure Work

Machine Learning Engineer, Enterprise Brain

Glean

Company websiteglean.com (Glean, opens in new tab)

Base salary $200K  to $280K

Employer-published annual base salary, USD. Advertised base range in Mountain View, CA

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  • LocationMountain View, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

About Glean:

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, 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 - without vendor lock-in or costly implementation cycles.

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.

If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.

About the Role:

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. You’ll own production ML problems from problem definition and evaluation through launch and monitoring, with a focus on measurable improvements to product quality.

You will:

  • Define and solve applied ML problems involving user-work understanding, task prediction, and proactive assistance.
  • Combine LLMs and traditional ML with Enterprise Graph signals, ranking/retrieval, and orchestration to improve product quality.
  • Build and ship production ML systems, including the evaluation, benchmarking, and data-quality loops needed to measure their impact.
  • Own the lifecycle from problem definition and baseline through launch, monitoring, and iteration.
  • Partner with product and engineering to understand customer problems and deliver reliable, production-ready solutions

About you:

  • 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.
  • You balance speed with quality, making pragmatic tradeoffs to deliver measurable progress without losing sight of production readiness.

Location:

  • This role is hybrid (4 days a week in our Mountain View office)

Compensation & Benefits:

The standard base salary range for this position is $200,000 - $280,000 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.

We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. 

#LI-HYBRID

AI-First Mindset at Glean:

At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. 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.

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.


By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.  

Source: Glean on Greenhouse · View original posting (opens in new tab)

Pay in context

This role's base floor ($200,000) is above 57% of the 1,470 Data & ML roles in California listed on this site; 72 others list the same floor. Their median floor is $190,000; the middle half runs from $160,000 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Glean roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Glean roles with the nearest advertised base floor
RolePublished base
Machine Learning Engineer, Enterprise Brain (this listing)$200K - $280K
Software Engineer, Cloud Infrastructure$200K - $270K
AI Engineer - Quality and Post-Training$200K - $280K
AI Engineer - Data and Evals$200K - $280K
Software Engineer, Storage$200K - $300K
Product Manager, Core Experience$200K - $300K
Senior Site Reliability Engineer$200K - $260K

Same $100K to $400K scale as every card. All Glean roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
  3. Absent from the employer's board; confirmation pending
  4. Closure observed on Oct 23, 2026
  5. Reappeared on the employer's board
Observed since
Employer-stated posting date
2026-10-16
Where this pay comes from

Location as the employer wrote it: Mountain View, CA

The standard base salary range for this position is $200,000 - $280,000 annually. Compensation offered will be determined by factor

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.