Machine Learning Engineer, Glean
Enterprise Brain
$200-300k
+ Certain roles may be eligible for variable compensation and equity
4+ days a week in office (Palo Alto, CA/ San Francisco, CA)
Enterprise search and knowledge management
Be an early applicant
Enterprise search and knowledge management
201-500 employees
Be an early applicant
$200-300k
+ Certain roles may be eligible for variable compensation and equity
4+ days a week in office (Palo Alto, CA/ San Francisco, CA)
201-500 employees
Company mission
To bring people the knowledge they need to make a difference in the world.
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 only emerged from stealth in 2021, it received a $1 Billion valuation in early 2022, thus achieving unicorn status, and has received nearly $400 million in funding so far. The SaaS platform is already used by some major companies including 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. 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 benefits
- Medical, dental, and vision for you and yours
- Competitive compensation and stock options
- 401k contribution
- Flexible work (3 days a week in the office), though we believe in folks working where they can be most effective
- Company events, from weekly happy hours to our annual company retreat
- Flexible hours, unlimited PTO, and company-wide winter break shutdown
- Transparent culture
- Learning and development stipend
- Free meals with lunch and dinner options every day
Company HQ
Evergreen Park, Palo Alto, CA
Leadership
Arvind Jain
(CEO)Former Engineer at Google and Microsoft. Is the co-founder of high growth startup Rubrik, which delivers data security and operational resilience for enterprises.
Piyush Prahladka
(Software Engineer)Prior to joining the co-founding team at Glean, they worked as a Senior Staff Software Engineer at Google, then as an Engineering Lead at Uber.
Tony Gentilcore
(Product Engineering Lead)Former Developer at At&T and TJC Labs. For ten years, served as a Senior Staff Software Engineer at Google, including a spell as Founder and Tech Lead / Manager of the Chrome Speed Team.
TR Vishwanath
(Engineering Lead)Before co-founding Glean, 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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