Google DeepMind
Large (~7,000)
Scale AI
Large (~1,200)
Best For
Google DeepMind
Best for: Professionals interested in Google DeepMind
Scale AI
Best for: Ambitious builders who want critical AI infrastructure work serving top-tier clients
Ratings
Google DeepMindScale AI
4.2
3.5
Overall
4.0
2.7
Work-Life Balance
4.3
2.9
Culture & Values
4.2
3.5
Comp & Benefits
4.0
2.8
Senior Mgmt
4.0
3.6
Career Opps
👍 84% Recommend
👤 88% CEO Approval (CEO)
👍 56% Recommend
👤 60% CEO Approval (Alexandr Wang)
Culture Values
Google DeepMind only
🎧 Deep Work / Low Meetings🌈 Diverse & Inclusive🤖 Ethical AI / Safety💎 Strong Comp & Equity🕐 Flexible Hours
Scale AI only
🎯 Direct Product Impact🚀 Ship Fast & Iterate
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
Scale AI
- Building critical AI data infrastructure used by OpenAI, Meta, Microsoft, and the US government
- Strong compensation for engineers — competitive base + equity
- Work-life balance rated 2.7/5 — long hours common during client deadlines
- Culture and values scored 2.9/5 — inconsistent management quality
Bottom Line
Google DeepMind
Google DeepMind — check Glassdoor for detailed reviews.
Scale AI
Choose Scale AI if you want to build data infrastructure for OpenAI and the US government — but expect long hours and inconsistent management.
Open Roles
Google DeepMind — 112 jobs
🧠 ML / AI
39
📋 Product
21
💻 Engineering
14
🎨 Design
8
📊 Data
5
👤 HR / People
2
📣 Marketing
2
Scale AI — 169 jobs
💻 Engineering
52
🧠 ML / AI
26
📋 Product
17
⚙️ Operations
9
💼 Sales / GTM
9
💰 Finance
8
⚖️ Legal
7
📣 Marketing
5
📊 Data
4
👤 HR / People
3
🎨 Design
2
🎧 Support
1