Top 50 AI Companies Hiring in 2026 — The Complete List
The definitive list of AI companies hiring engineers in 2026. 50+ companies, salary ranges, open positions, and direct links to apply. Updated monthly.
The AI Talent Market in 2026
The AI talent market in 2026 is unprecedented. Demand for AI engineers exceeds supply at a roughly 3:1 ratio, with an estimated 1.6 million AI roles unfilled globally. Senior ML engineers command $200K-$400K at top firms, and specialized LLM engineers average $168K for remote roles.
We track 670+ open AI positions across 130+ companies on LLMHire, updated every 4 hours. This list distills that data into the 50 companies most actively hiring AI talent right now — organized by category, with salary ranges and direct links.
Last updated: March 2026
AI Labs & Foundation Model Companies
These companies build the models powering the AI revolution. Roles here tend to be research-heavy with the highest compensation.
1. OpenAI — San Francisco, CA
Open AI roles: ~50+
Key positions: Research Scientists, ML Engineers, AI Product Managers
Salary range: $250K-$500K+ (top researchers significantly higher)
Why apply: The company behind GPT and ChatGPT. If you want to work on frontier models, this is ground zero.
2. Anthropic — San Francisco, CA
Open AI roles: ~35-50
Key positions: ML Engineers, Research Scientists, Alignment Researchers
Salary range: $300K-$425K base
Why apply: Building Claude. Strong focus on AI safety and alignment. Unusual culture of technical rigor.
View Anthropic jobs on LLMHire
3. Google DeepMind — London / Mountain View
Open AI roles: ~100+
Key positions: Research Scientists, ML Engineers, Applied Researchers
Salary range: $230K-$362K+
Why apply: Merged Google Brain and DeepMind. Massive compute budget and publishing record.
View Google DeepMind jobs on LLMHire
4. Meta AI — Menlo Park, CA
Open AI roles: ~60+
Key positions: ML Engineers, Research Scientists, AI Infra Engineers
Salary range: $200K-$350K+
Why apply: Open-source leader (Llama models). Huge investment in AI research and infrastructure.
5. Mistral AI — Paris, France
Open AI roles: ~20-30
Key positions: ML Engineers, Research Scientists, Infrastructure Engineers
Salary range: Competitive European (comparable to US for senior roles)
Why apply: Europe's leading AI lab. Valued at ~$14B. Building frontier open-weight models.
6. Cohere — Toronto, Canada
Open AI roles: ~25-35
Key positions: NLP Engineers, ML Engineers, Research Scientists
Salary range: $150K-$300K CAD
Why apply: Enterprise-focused LLM company. Strong NLP team. Valued at ~$7-10B, IPO planned.
7. Stability AI — London, UK
Open AI roles: ~15-25
Key positions: Generative AI Engineers, ML Researchers
Why apply: Pioneers in open-source generative models (Stable Diffusion).
8. Together AI — San Francisco, CA
Open AI roles: ~20-30
Key positions: Infrastructure Engineers, ML Engineers
Why apply: Building the open-source AI cloud. Fast-growing inference infrastructure company.
9. Hugging Face — Brooklyn, NY
Open AI roles: ~20-25
Key positions: ML Engineers, Developer Advocates, Open Source Contributors
Why apply: The GitHub of machine learning. If you love open source, this is the place.
View Hugging Face jobs on LLMHire
10. Perplexity AI — San Francisco, CA
Open AI roles: ~25-35
Key positions: ML Engineers, Backend Engineers, Search Engineers
Salary range: Competitive startup (Series E, $9B valuation)
Why apply: Building AI-native search. ~1,500 employees and scaling fast.
AI Infrastructure & Compute
- 11. NVIDIA — Santa Clara, CA (~80+ roles)
- 12. Databricks — San Francisco, CA (~45+ roles, $100B+ valuation, IPO filing)
- 13. Scale AI — San Francisco, CA (~30-40 roles, ~$29B valuation)
- 14. CoreWeave — New York, NY (~25-35 roles)
- 15. Lambda Labs — San Francisco, CA (~15-20 roles)
Big Tech AI Divisions
- 16. Microsoft — Redmond, WA (~80+ roles)
- 17. Amazon AWS — Seattle, WA (~100+ roles)
- 18. Apple — Cupertino, CA (~40+ roles)
- 19. IBM — Armonk, NY (~150+ roles, tripling entry-level hiring in 2026)
AI Applications & Products
- 20. Tesla AI — Austin, TX (~40+ roles)
- 21. Palantir — Denver, CO (~42 roles, $73K-$200K range)
- 22. Anduril — Costa Mesa, CA (~45+ roles, defense AI)
- 23. Grammarly — San Francisco, CA (~20-25 roles)
- 24. Notion — San Francisco, CA (~20-25 roles)
- 25. Stripe — San Francisco, CA (~25-30 roles)
Autonomous Systems & Robotics
- 26. Waymo — Mountain View, CA (~35+ roles)
- 27. Aurora — Palo Alto, CA (~30+ roles)
- 28. Figure AI — San Jose, CA (~35+ roles, humanoid robotics)
- 29. Neuralink — Palo Alto, CA (~20-25 roles)
AI in Finance
- 30. JPMorgan Chase — New York, NY (~50+ roles)
- 31. Goldman Sachs — New York, NY (~35+ roles)
- 32. Morgan Stanley — New York, NY (~30+ roles)
Enterprise AI & Consulting
- 33. Accenture — Global (~80+ roles)
- 34. Deloitte — Global (~70+ roles)
- 35. PwC — Global (~60+ roles)
- 36. McKinsey — Global (~40+ roles)
- 37. BCG — Global (~35+ roles)
Consumer Tech AI Teams
- 38. Netflix — Los Gatos, CA (~25-30 roles)
- 39. Airbnb — San Francisco, CA (~30+ roles)
- 40. Uber — San Francisco, CA (~35+ roles)
- 41. Roblox — San Mateo, CA (~30+ roles)
- 42. Discord — San Francisco, CA (~15-20 roles)
Healthcare & Biotech AI
- 43. Tempus — Chicago, IL (~35+ roles)
- 44. Recursion Pharmaceuticals — Salt Lake City, UT (~20+ roles)
Emerging AI Startups
- 45. Adept AI — San Francisco, CA (~20-25 roles)
- 46. Imbue — San Francisco, CA (~15-20 roles)
- 47. Reflection AI — San Francisco, CA (~15-20 roles)
- 48. Gradient AI — San Francisco, CA (~12-18 roles)
Specialized AI
- 49. Deepgram — San Francisco, CA (~15-20 speech AI roles)
- 50. RTB House — Warsaw, Poland (~30-40 deep learning roles)
Salary Benchmarks (2026)
- Entry-Level AI Engineer: $100K-$170K
- Mid-Level ML Engineer: $150K-$250K
- Senior ML/Research Scientist: $200K-$400K
- Staff/Principal AI Engineer: $300K-$500K+
- Remote LLM Engineer (avg): ~$168K
Most In-Demand Skills
Based on our analysis of 670+ job postings:
- LLM fine-tuning and RLHF — Most requested specialization
- RAG architectures — Retrieval-augmented generation for enterprise AI
- Multi-agent systems — Orchestrating multiple AI agents
- MLOps and model deployment — Getting models into production
- AI safety and alignment — Growing demand, especially at labs
How to Find These Roles
LLMHire aggregates all of these positions (and 600+ more) in one place, with filters for role type, remote/onsite, and company. Updated every 4 hours from Greenhouse, Ashby, and Lever.
For a deep dive on the skills you need, the Vibe Coding Complete Guide covers the entire AI development toolkit — including a chapter on AI career paths and what companies actually look for.
Published on LLMHire.com | March 5, 2026
Data sources: LLMHire job aggregation, company career pages, public salary data
Updated monthly