Companies using Semantic Search that are hiring now
724 companies list Semantic Search as a requirement in 1,175 open roles. Most of those roles are in AI and machine learning, backend engineering and data science teams. Semantic Search most often appears next to Python, LLM, Semantic Search, RAG and AWS. Roles that need it and state the pay sit at $164k a year in the middle.
Companies with the most open Semantic Search roles
25 of 724 · the full list is in the API| Company | Headquarters | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|---|
| United States | 5000+ | 29 | AI and machine learning, Data science, Backend engineering | $153k | |
| United States | 11-50 | 16 | Solutions engineering, AI and machine learning, Backend engineering | — | |
| France | 5000+ | 13 | AI and machine learning, Data science, Networking | — | |
| United States | 1001-5000 | 12 | Solutions engineering, Backend engineering, Sales | $97k | |
| United Kingdom | 1001-5000 | 10 | AI and machine learning, Data science | $154k | |
| 11-50 | 10 | AI and machine learning, Backend engineering | $145k | ||
| Ireland | 5000+ | 9 | AI and machine learning, Analytics, Data science | — | |
| France | 5000+ | 9 | Data science, AI and machine learning, Backend engineering | $163k | |
| France | 1001-5000 | 8 | AI and machine learning, Data science, Analytics | — | |
| 51-200 | 8 | Backend engineering, Solutions engineering, Security | — | ||
| United States | 1001-5000 | 8 | AI and machine learning | — | |
| 5000+ | 7 | Data science, Backend engineering, AI and machine learning | — | ||
| Netherlands | 1001-5000 | 7 | Data science, AI and machine learning | $127k | |
| United States | 5000+ | 6 | AI and machine learning, Data science, Backend engineering | — | |
| Germany | 1001-5000 | 6 | AI and machine learning, Data science, Enterprise applications | — | |
| United States | 5000+ | 6 | AI and machine learning | $131k | |
| India | 5000+ | 6 | AI and machine learning, Data science | — | |
| 5000+ | 6 | AI and machine learning, Finance, Operations | — | ||
| 501-1000 | 6 | AI and machine learning, DevOps and infrastructure, Industrial engineering | — | ||
| United States | 5000+ | 6 | Backend engineering, AI and machine learning, DevOps and infrastructure | — | |
| United States | 5000+ | 6 | AI and machine learning, Solutions engineering | $153k | |
| IIRIS software | 1001-5000 | 6 | AI and machine learning, Data science | — | |
| United States | 1001-5000 | 5 | Backend engineering, AI and machine learning, Engineering leadership | $252k | |
| United States | 201-500 | 5 | AI and machine learning | — | |
| United States | 5000+ | 5 | AI and machine learning | $161k |
Where these companies are headquartered
What these companies also use
Teams hiring for Semantic Search
Get all 724 companies as a list
Name, website, size, industry and headquarters of every company that requires Semantic Search, through the API (company.getList with technology=Semantic Search). 724 companies × 0.02 credits = 14.48 credits ($1.45).
Questions
How do you know a company uses Semantic Search?
A company counts when at least one of its open job postings lists Semantic Search 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 Semantic Search itself are left out.
Which teams hire for Semantic Search?
Of the 1,175 open roles that require it, most are in AI and machine learning (553), backend engineering (180) and data science (148).
What do Semantic Search roles pay?
333 of the 1,175 roles state the pay. The middle of their posted ranges is $164k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Semantic Search 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.
