Machine Learning Engineer, Enterprise Brain

Glean; Mountain View (CA); Hybrid; USD 200,000 - 280,000; Full time

Benefits offered by this job

Medical, Vision, and Dental coverage

Generous time-off policy

401k plan contribution

Home office improvement stipend

Annual education and wellness stipends

Healthy lunches daily

Job summary

Glean is seeking experienced Machine Learning Engineers to build the Enterprise Brain—proactive AI that understands users and automates tasks.

You will tackle challenging ML problems, develop LLM workflows, and lead scalable evaluation loops while collaborating with cross-functional teams to deliver production-grade ML systems. The role is hybrid in Mountain View with competitive compensation.

Qualifications

• 6+ years of industry experience in machine learning engineering.
• BA/BS in computer science, math, sciences, or a related field.
• Proven ability to design, build, and ship production-ready models and systems.
• Demonstrated expertise in ML evaluation, benchmarking, and data quality.
• Proficient in an ML framework such as TensorFlow or PyTorch.
• Thrive in a fast-moving, ambiguous environment, turning open-ended problems into production-ready solutions.
• Balance speed with quality, making pragmatic tradeoffs to deliver measurable progress.

Responsibilities

• Work on deeply challenging ML problems involving user understanding and task prediction.
• Invent new LLM workflows and signals to improve reasoning, planning, and personalization.
• Design and optimize reinforcement learning and fine-tuning approaches to improve understanding, prediction and other agentic systems.
• Lead development of scalable evaluation, benchmarking, and optimization loops.
• Build and maintain robust ML pipelines for enterprise and knowledge graph construction.
• Drive initiatives to measure, monitor, and improve data quality, model quality, and end-to-end system performance.
• Collaborate with cross-functional teams to deeply understand customer pain points and deliver high-quality, production-ready ML solutions.
• Mentor junior engineers or learn from experienced ones in a tight-knit, high-velocity environment.

Skills

Machine learning engineering

Production-ready models

ML evaluation

Data quality

Cross-functional collaboration

Education

BA/BS in computer science, math, sciences, or related

Tools

TensorFlow

PyTorch

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.

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. The project involves using both LLM and other advanced ML techniques, agent orchestration and cutting-edge ranking techniques.

You Will

• Work on deeply challenging ML problems involving user understanding and task prediction.
• Invent new LLM workflows and signals to improve reasoning, planning, and personalization.
• Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of understanding, prediction and other agentic systems.
• Lead development of scalable evaluation, benchmarking, and optimization loops.
• Build and maintain robust ML pipelines for enterprise and knowledge graph construction.
• Drive initiatives to measure, monitor, and improve data quality, model quality, and end-to-end system performance.
• Collaborate with cross-functional teams to deeply understand customer pain points and deliver high-quality, production-ready ML solutions.
• Mentor junior engineers or learn from experienced ones in a tight-knit, high-velocity environment.

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.

• Medical, Vision, and Dental coverage
• generous time-off policy
• the opportunity to contribute to your 401k plan to support your long-term goals.
• home office improvement stipend
• annual education and wellness stipends to support your growth and wellbeing.
• 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.

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.

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