Machine Learning Engineer, Enterprise Brain
Mountain View, CA
- Pay
$200,000–280,000/year · Base — pay source
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.
Read the full posting- Work setting
Hybrid — work setting source
Location: This role is hybrid (4 days a week in our Mountain View office) Compensation & Benefits:
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingGlean’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.
Define and solve applied ML problems involving user-work understanding, task prediction, and proactive assistance.
You’ll own production ML problems from problem definition and evaluation through launch and monitoring, with a focus on measurable improvements to product quality.
From the employer’s posting
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.
Define and solve applied ML problems involving user-work understanding, task prediction, and proactive assistance.
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:
What you’ll bring
All qualificationsCore experience
- You bring 6+ years of industry experience in machine learning engineering.
- 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.
Qualification wording
You bring 6+ years of industry experience in machine learning engineering.
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.
Tools in this posting
- PyTorch
- TensorFlow
Source — Tool mentions in context
- 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.
Benefits in the posting
Full benefits wording- 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.
- AI-First Mindset at Glean:
- 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.
From the employer’s posting.
About Glean
Glean is the Work AI platform that helps everyone work smarter with AI.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 17, 2026 · 13 days ago
- Recorded sightings
- 18
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
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 details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Mountain View, CA
Location: - This role is hybrid (4 days a week in our Mountain View office) Compensation & Benefits:
More source context
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:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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