Google DeepMind
Large (~7,000)
Hebbia
Small (~140)
Best For
Google DeepMind
Best for: AI researchers who want world-class peers and Google-level benefits without sacrificing scientific rigor
Hebbia
Best for: Engineers who want a famously kind, high-EQ team building cutting-edge AI for finance and legal professionals
Ratings
Google DeepMindHebbia
4.2
4.4
Overall
4.0
3.2
Work-Life Balance
4.3
4.5
Culture & Values
4.2
4.4
Comp & Benefits
4.0
4.2
Senior Mgmt
4.0
4.2
Career Opps
👍 84% Recommend
👤 88% CEO Approval (Demis Hassabis)
👍 88% Recommend
👤 92% CEO Approval (George Sivulka)
Culture Values
Google DeepMind only
🎧 Deep Work / Low Meetings🌈 Diverse & Inclusive🤖 Ethical AI / Safety💎 Strong Comp & Equity🕐 Flexible Hours
Hebbia only
🚀 Ship Fast & Iterate🧩 Wears Many Hats🎯 Direct Product Impact
Shared
🌱 Learning & Growth⚙️ Engineering-Driven
Pros & Cons
Google DeepMind
- World-class AI research environment with brilliant, collaborative colleagues
- Google-level compensation and benefits with genuine work-life balance
- Google-scale bureaucracy — slow decision-making compared to startups
- Large org means less individual ownership and impact on direction
Hebbia
- Incredible culture and smart, kind team
- Cutting-edge AI work in finance
- Very long hours expected
- Fully in-office, no flexibility
Bottom Line
Google DeepMind
Brilliant research environment with strong work-life balance and excellent pay — but Google-scale bureaucracy and post-merger politics slow things down.
Hebbia
Choose Hebbia if you want one of the most collegial cultures in AI (4.4 Glassdoor, 88% recommend) and direct impact in fintech — but expect very long hours and fully in-office, no remote flexibility.
Open Roles
Google DeepMind — 84 jobs
🧠 ML / AI
24
📋 Product
18
🎨 Design
14
💻 Engineering
5
👤 HR / People
3
📊 Data
2
📣 Marketing
2
Hebbia — 32 jobs
💼 Sales / GTM
10
💻 Engineering
8
📊 Data
2
🎨 Design
2
💰 Finance
1
👤 HR / People
1
🧠 ML / AI
1
Summary
Google DeepMind scores 4.2/5.0 on Glassdoor with a 4.0 work-life balance rating. Hebbia scores 4.4/5.0 overall with a 3.2 WLB. That’s a 0.2-point gap on overall satisfaction.
Both companies share these culture values: Learning & Growth, Engineering-Driven. Google DeepMind also emphasizes Deep Work / Low Meetings, Diverse & Inclusive, Ethical AI / Safety, Strong Comp & Equity, Flexible Hours. Hebbia also emphasizes Ship Fast & Iterate, Wears Many Hats, Direct Product Impact.
On the hiring front, Google DeepMind has 84 open roles and Hebbia has 32 open roles.