Companies in the United States using Semantic Search
356 companies headquartered in the United States list Semantic Search as a requirement in 607 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 SQL. Roles that need it and state the pay sit at $177k a year in the middle.
Companies with the most open Semantic Search roles
25 of 356 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 UnitedHealth Group | 5000+ | 33 | AI and machine learning, Backend engineering, Data science | $153k |
 Google | 11-50 | 16 | Solutions engineering, AI and machine learning, Backend engineering | — |
 Apple | 5000+ | 8 | AI and machine learning, Data science, Backend engineering | — |
 Elastic | 1001-5000 | 8 | Solutions engineering, Backend engineering, Sales | $96k |
 Cornerstone OnDemand | 501-1000 | 7 | AI and machine learning, Industrial engineering, Solutions engineering | — |
 Citi | 5000+ | 7 | Backend engineering, AI and machine learning, DevOps and infrastructure | — |
 Cloudera | 1001-5000 | 7 | AI and machine learning | — |
 Cognizant | 5000+ | 6 | AI and machine learning | $131k |
 ServiceNow | 1001-5000 | 6 | Backend engineering, AI and machine learning, Engineering leadership | $252k |
 Accenture Federal Services | 5000+ | 6 | AI and machine learning, Solutions engineering | — |
 JPMorganChase | 5000+ | 5 | AI and machine learning, Backend engineering | — |
 State Street | 5000+ | 5 | AI and machine learning | $161k |
 Microsoft | 5000+ | 4 | AI and machine learning, Data science, Frontend engineering | — |
 Amazon | 5000+ | 4 | Backend engineering, Solutions engineering | — |
 Cisco Systems | 5000+ | 4 | AI and machine learning, Backend engineering, DevOps and infrastructure | — |
 Qualcomm | 5000+ | 4 | AI and machine learning, Backend engineering, Analytics | — |
 The Vanguard Group | 1001-5000 | 4 | AI and machine learning, Data science, Backend engineering | — |
 Guidehouse | 1001-5000 | 4 | AI and machine learning, Backend engineering | — |
 LexisNexis | 5000+ | 4 | AI and machine learning, Data science | — |
 Thermo Fisher Scientific | 1001-5000 | 4 | Analytics, AI and machine learning, Field and service | — |
 VetsEZ | 201-500 | 4 | Backend engineering, AI and machine learning, Solutions engineering | — |
 Together AI | 501-1000 | 4 | Backend engineering | — |
 BNY | 1001-5000 | 4 | Engineering leadership, Data science | — |
 NVIDIA | 5000+ | 3 | AI and machine learning, QA and testing | — |
 DXC Technology | 5000+ | 3 | AI and machine learning, Data science | — |
Semantic Search in other countries
What these companies also use
Teams hiring for Semantic Search
Get all 356 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 and country=US). 356 companies × 0.02 credits = 7.12 credits ($0.71).
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 607 open roles that require it, most are in AI and machine learning (263), backend engineering (115) and data science (64).
What do Semantic Search roles pay?
219 of the 607 roles state the pay. The middle of their posted ranges is $177k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Semantic Search 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.