Companies using Ray that are hiring now
645 companies list Ray as a requirement in 1,276 open roles. Most of those roles are in AI and machine learning, backend engineering and DevOps and infrastructure teams. Ray most often appears next to Python, AWS, CI/CD, Machine Learning and Kubernetes. Roles that need it and state the pay sit at $181k a year in the middle.
Companies with the most open Ray roles
25 of 645 · the full list is in the API| Company | Headquarters | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|---|
| United States | 5000+ | 35 | Field and service, HR and recruiting, Finance | — | |
| United States | 5000+ | 24 | AI and machine learning, Data science | $227k | |
| United States | 22 | Early careers | — | ||
| China | 1001-5000 | 21 | AI and machine learning, Backend engineering, Early careers | — | |
| United States | 51-200 | 20 | Backend engineering, AI and machine learning, Security | $223k | |
| United States | 5000+ | 12 | Backend engineering, DevOps and infrastructure, Product management | $268k | |
| 201-500 | 12 | Sales | — | ||
| United States | 1001-5000 | 12 | HR and recruiting, Field and service | $48k | |
| United States | 1001-5000 | 9 | Hardware engineering, DevOps and infrastructure, Industrial engineering | $170k | |
| United States | 501-1000 | 9 | Backend engineering, AI and machine learning, Product management | $212k | |
| 1001-5000 | 9 | Science and research, Hardware engineering, DevOps and infrastructure | $94k | ||
| United States | 5000+ | 8 | HR and recruiting, Backend engineering, Customer success | — | |
| United States | 8 | AI and machine learning, Data science, Engineering leadership | — | ||
| Germany | 1001-5000 | 8 | Field and service, AI and machine learning, Backend engineering | $160k | |
| United States | 8 | AI and machine learning | — | ||
| China | 5000+ | 8 | AI and machine learning, DevOps and infrastructure, Data science | — | |
| United States | 1001-5000 | 7 | AI and machine learning, Backend engineering | $276k | |
| United States | 5000+ | 7 | Industrial engineering, AI and machine learning | — | |
| United Kingdom | 501-1000 | 7 | Data science, Backend engineering, Product management | — | |
| United States | 501-1000 | 7 | Science and research, AI and machine learning, Industrial engineering | $121k | |
| United States | 5000+ | 7 | Field and service, HR and recruiting, Management | — | |
| China | 1001-5000 | 7 | AI and machine learning, Data science, DevOps and infrastructure | — | |
| China | 5000+ | 6 | AI and machine learning, Industrial engineering, Data science | — | |
| China | 1001-5000 | 6 | AI and machine learning, Product management | — | |
| United States | 1001-5000 | 6 | AI and machine learning, Data science | $264k |
Where these companies are headquartered
What these companies also use
Teams hiring for Ray
Get all 645 companies as a list
Name, website, size, industry and headquarters of every company that requires Ray, through the API (company.getList with technology=Ray). 645 companies × 0.02 credits = 12.9 credits ($1.29).
Questions
How do you know a company uses Ray?
A company counts when at least one of its open job postings lists Ray as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of Ray itself are left out.
Which teams hire for Ray?
Of the 1,276 open roles that require it, most are in AI and machine learning (389), backend engineering (124) and DevOps and infrastructure (110).
What do Ray roles pay?
480 of the 1,276 roles state the pay. The middle of their posted ranges is $181k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Ray returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.
