Anyscale
Medium (~250)
Lambda
Mid (~500)
Best For
Anyscale
Best for: Distributed systems and ML infrastructure engineers who want to work on the Ray open-source project and commercial AI infra
Lambda
Best for: Professionals interested in Lambda
Ratings
AnyscaleLambda
4.2
3.6
Overall
3.8
3.7
Work-Life Balance
4.2
3.7
Culture & Values
4.1
3.6
Comp & Benefits
4.0
3.4
Senior Mgmt
4.0
3.4
Career Opps
👍 84% Recommend
👤 87% CEO Approval (Robert Nishihara)
👍 72% Recommend
👤 76% CEO Approval (CEO)
Culture Values
Anyscale only
🔓 Open Source🤝 Flat Hierarchy
Lambda only
💎 Strong Comp & Equity🎯 Direct Product Impact
Shared
⚙️ Engineering-Driven🚀 Ship Fast & Iterate
Pros & Cons
Anyscale
- Brilliant colleagues from top companies
- Direct impact on AI/ML ecosystem
- Context switching between projects
- Documentation can lag behind development
Lambda
- Building the GPU cloud that powers the world’s top AI labs — genuinely impactful infrastructure
- Smart engineering team with strong technical culture and good WLB on most teams
- Management style described as top-down; strategy clarity could be better
- Internal politics and coordination overhead slow things down for some teams
Bottom Line
Anyscale
Choose Anyscale if you want to work on Ray — the dominant compute framework for AI workloads — with strong engineering culture and open-source DNA.
Lambda
Lambda — check Glassdoor for detailed reviews.
Open Roles
Anyscale
No open roles currently listed
Lambda — 32 jobs
💻 Engineering
14
💰 Finance
6
📋 Product
4
👤 HR / People
2
⚖️ Legal
1
Summary
Anyscale scores 4.2/5.0 on Glassdoor with a 3.8 work-life balance rating. Lambda scores 3.6/5.0 overall with a 3.7 WLB. That’s a 0.6-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Ship Fast & Iterate. Anyscale also emphasizes Open Source, Flat Hierarchy. Lambda also emphasizes Strong Comp & Equity, Direct Product Impact.
On the hiring front, Anyscale has 0 open roles and Lambda has 32 open roles.