Databricks
Large (~7,000)
Hugging Face
Small (~400)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Hugging Face
Best for: Open-source enthusiasts who value remote flexibility over top comp
Ratings
DatabricksHugging Face
4.1
3.8
Overall
3.9
4.1
Work-Life Balance
4.0
4.2
Culture & Values
4.3
3.4
Comp & Benefits
3.8
3.6
Senior Mgmt
3.9
3.5
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 78% Recommend
👤 85% CEO Approval (Clement Delangue)
Culture Values
Databricks only
⚙️ Engineering-Driven🌱 Learning & Growth💎 Strong Comp & Equity🌈 Diverse & Inclusive🎯 Direct Product Impact
Hugging Face only
🔓 Open Source Culture🤝 Flat Hierarchy🌐 Remote-Friendly🕐 Flexible Hours🪟 Transparent Culture🧩 Wears Many Hats📡 Async-First
Shared
None
Pros & Cons
Databricks
- Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
- Strong compensation and equity packages consistently above market
- Hypergrowth means org changes are constant — teams restructure frequently
- Some legacy Spark-era tech debt that can slow down new features
Hugging Face
- True open-source DNA — you work on things millions of developers actually use
- Remote-first and async culture that actually works across time zones
- Below-market comp compared to FAANG
- Career progression is unclear — no well-defined ladder
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Hugging Face
Choose Hugging Face if you want to build tools millions of ML devs use with true remote freedom — but comp lags FAANG.
Open Roles
Databricks — 789 jobs
💼 Sales / GTM
319
💻 Engineering
258
📋 Product
52
📊 Data
23
⚙️ Operations
17
🧠 ML / AI
15
💰 Finance
12
📣 Marketing
11
👤 HR / People
9
⚖️ Legal
5
🎨 Design
4
🎧 Support
1
Hugging Face — 14 jobs
🧠 ML / AI
9
💻 Engineering
2
🎨 Design
1
⚖️ Legal
1