Companies in the United States using Ray
338 companies headquartered in the United States list Ray as a requirement in 742 open roles. Most of those roles are in AI and machine learning, industrial engineering and field and service 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 $195k a year in the middle.
Companies with the most open Ray roles
25 of 338 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Lifepoint Health | 5000+ | 35 | Field and service, HR and recruiting, Finance | — |
 Capital One | 5000+ | 24 | AI and machine learning, Data science | $227k |
 VetEvolve | 22 | Early careers | — | |
 Anyscale | 51-200 | 20 | Backend engineering, AI and machine learning, Security | $223k |
 NVIDIA | 5000+ | 12 | Backend engineering, DevOps and infrastructure, Product management | $268k |
 Sea Mar Community Health Centers | 1001-5000 | 12 | HR and recruiting, Field and service | $48k |
 Anduril Industries | 1001-5000 | 9 | Hardware engineering, DevOps and infrastructure, Industrial engineering | $170k |
 CoreWeave | 501-1000 | 9 | Backend engineering, AI and machine learning, Product management | $212k |
 Micron Technology | 5000+ | 8 | Industrial engineering, AI and machine learning | — |
 Red Hat | 8 | AI and machine learning, Data science, Engineering leadership | — | |
 Itransition | 8 | AI and machine learning | — | |
 Reddit | 1001-5000 | 7 | AI and machine learning, Backend engineering | $276k |
 Amazon | 5000+ | 7 | HR and recruiting, Backend engineering, Customer success | — |
 Argonne National Laboratory | 501-1000 | 7 | Science and research, AI and machine learning, Industrial engineering | $121k |
 GE HealthCare | 5000+ | 7 | Field and service, HR and recruiting, Management | — |
 Roku | 1001-5000 | 6 | AI and machine learning, Data science | $264k |
 Abbott Laboratories | 5000+ | 6 | Field and service | $45k |
 Applied Materials | 5000+ | 6 | Industrial engineering, DevOps and infrastructure, Operations | $135k |
 MillerKnoll | 1001-5000 | 6 | Management | $75k |
 Lawrence Livermore National Laboratory | 1001-5000 | 6 | AI and machine learning, Early careers, Science and research | $123k |
 Caylent | 6 | DevOps and infrastructure | — | |
 Allied Universal | 5000+ | 6 | Field and service, Finance, Operations | $32k |
 Adobe | 5000+ | 5 | AI and machine learning, Data science | $254k |
 Zoox | 1001-5000 | 5 | Backend engineering, AI and machine learning | $258k |
 Snap | 1001-5000 | 5 | AI and machine learning, Hardware engineering, Industrial engineering | $196k |
Ray in other countries
What these companies also use
Teams hiring for Ray
Get all 338 companies as a list
Name, website, size, industry and headquarters of every company that requires Ray, through the API (company.getList with technology=Ray and country=US). 338 companies × 0.02 credits = 6.76 credits ($0.68).
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 742 open roles that require it, most are in AI and machine learning (206), industrial engineering (83) and field and service (73).
What do Ray roles pay?
356 of the 742 roles state the pay. The middle of their posted ranges is $195k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Ray and country=US 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.