Machine Learning Engineer, Glean

Enterprise Brain

$200-300k

+ Certain roles may be eligible for variable compensation and equity

Python

Java

Tensorflow

C++

PyTorch

Mid and Senior level

San Francisco Bay Area

4+ days a week in office (Palo Alto, CA/ San Francisco, CA)

AI-based search engine connecting enterprise data

Open for applications

AI-based search engine connecting enterprise data

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaS

Open for applications

$200-300k

+ Certain roles may be eligible for variable compensation and equity

Python

Java

Tensorflow

C++

PyTorch

Mid and Senior level

San Francisco Bay Area

4+ days a week in office (Palo Alto, CA/ San Francisco, CA)

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaS

Company mission

To expand human potential to do extraordinary work.

Job

Company

Role

Who you are

3+ years of industry experience in AI or Machine Learning Engineering
BA/BS in computer science, math, sciences, or a related field
Experience with search, recommendation, natural language processing, or other large-scale ML systems
Proven ability to design, build, and ship production-ready models and systems
Demonstrated expertise in ML evaluation, benchmarking, and data quality—ideally with experience in building or maintaining evaluation frameworks for complex enterprise tasks
Proficiency in your ML framework of choice (e.g., TensorFlow, PyTorch)
Strong coding skills (Python, Go, Java, C++, etc.)
Thrive in a customer-focused, cross-functional environment; a proactive and positive attitude is a must

What the job involves

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
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

Our take

Glean is an intuitive digital assistant which allows employees to search across all their apps and find the information and tools that they need more quickly.

With so many SaaS apps being used by modern day companies, overwhelm and inefficiency inevitably enter the equation. Glean’s search engine is proving popular for how it unifies and centralizes all these distributed tools and data.

It’s been quite a start to life at Glean, having emerged from stealth in 2021, it received a $1B valuation in early 2022, thus achieving unicorn status. Since then, the company has gone on to raise substantial funding and bring its valuation up to $7.2B in 2025. With this impressive growth, its secured some big name customers like Grammarly, databricks, and Rubrik.

That Glean was co-founded by a quartet with senior experience at Google, Microsoft, Uber, and Facebook stands the company in good stead. However, it’s the fact that its search engine is solving a new, but very real problem in the workplace that’s seen its popularity surge so quickly, which it’s likely to continue to do in the future. And its adaptability to include new AI capabilities to its platform, such as generative AI, has Glean well set to see further growth.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

44% employee growth in 12 months

Glassdoor (4.5)

Company

Funding (last 2 of 7 rounds)

Jun 2025

$150m

SERIES F

Sep 2024

$260m

SERIES E

Total funding: $805m

Company HQ

Evergreen Park, Palo Alto, CA

Leadership

Arvind Jain

(Co-Founder & CEO)

Former Engineer at Google and Microsoft. Arvind is also the co-founder of high growth startup Rubrik, which delivers data security and operational resilience for enterprises.

TR Vishwanath

(Co-Founder & CTO)

Before co-founding Glean, TR was a Principal Software Engineer at Facebook after spending eight years at Microsoft as a Software Design Engineer, then Principal Development Lead.

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