Machine Learning Engineer, Glean
Enterprise Brain
$200-280k
4 days a week in office (Mountain View, CA)
AI-based search engine connecting enterprise data
Be an early applicant
AI-based search engine connecting enterprise data
1001+ employees
Be an early applicant
$200-280k
4 days a week in office (Mountain View, CA)
1001+ employees
Company mission
To expand human potential to do extraordinary work.
Role
Who you are
- 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
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
Application process
- 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
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
44% employee growth in 12 months
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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