Companies in the United States using Amazon SageMaker
305 companies headquartered in the United States list Amazon SageMaker as a requirement in 563 open roles. Most of those roles are in AI and machine learning, data science and backend engineering teams. Amazon SageMaker most often appears next to AWS, Python, CI/CD, SQL and Machine Learning. Roles that need it and state the pay sit at $179k a year in the middle.
Companies with the most open Amazon SageMaker roles
25 of 305 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Intuit | 1001-5000 | 17 | Backend engineering, AI and machine learning | $239k |
 Quantiphi | 1001-5000 | 14 | AI and machine learning, DevOps and infrastructure, QA and testing | — |
 Booz Allen Hamilton | 5000+ | 11 | AI and machine learning, Solutions engineering, DevOps and infrastructure | $162k |
 Delta Air Lines | 10 | Backend engineering, AI and machine learning, Data science | — | |
 Genpact | 5000+ | 9 | Data science, AI and machine learning, Engineering leadership | — |
 Fitch Group | 1001-5000 | 9 | AI and machine learning, Data science, Industrial engineering | $135k |
 Jumio | 201-500 | 8 | AI and machine learning, Data science, Backend engineering | — |
 NewRocket | 8 | AI and machine learning, Enterprise applications | — | |
 Amgen | 5000+ | 8 | AI and machine learning, Backend engineering, DevOps and infrastructure | — |
 Caylent | 8 | Engineering leadership, Data science | — | |
 Robots & Pencils | 201-500 | 7 | AI and machine learning, DevOps and infrastructure, Data science | $142k |
 UnitedHealth Group | 5000+ | 7 | AI and machine learning, Data science | $167k |
 JPMorganChase | 5000+ | 6 | AI and machine learning, Backend engineering | — |
 Metriport | 51-200 | 6 | Backend engineering, Data science, AI and machine learning | $215k |
 Tiger Analytics | 501-1000 | 6 | Data science, AI and machine learning, Solutions engineering | — |
 Babylist | 201-500 | 6 | Backend engineering, AI and machine learning | — |
 The Hartford | 501-1000 | 6 | AI and machine learning, Data science, Backend engineering | — |
 The Vanguard Group | 1001-5000 | 5 | AI and machine learning, Data science | — |
 Citi | 5000+ | 5 | AI and machine learning, Solutions engineering, Enterprise applications | $167k |
 Visa | 5000+ | 4 | AI and machine learning, Backend engineering | $157k |
 Braze | 1001-5000 | 4 | Marketing | $211k |
 GuidePoint Security | 201-500 | 4 | AI and machine learning, Security, Industrial engineering | — |
 DoiT | 4 | DevOps and infrastructure | — | |
 The Cigna Group | 5000+ | 4 | Backend engineering, Data science, Analytics | — |
 Warner Bros. Discovery | 1001-5000 | 4 | AI and machine learning | — |
Amazon SageMaker in other countries
What these companies also use
Teams hiring for Amazon SageMaker
Get all 305 companies as a list
Name, website, size, industry and headquarters of every company that requires Amazon SageMaker, through the API (company.getList with technology=Amazon SageMaker and country=US). 305 companies × 0.02 credits = 6.1 credits ($0.61).
Questions
How do you know a company uses Amazon SageMaker?
A company counts when at least one of its open job postings lists Amazon SageMaker 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 Amazon SageMaker itself are left out.
Which teams hire for Amazon SageMaker?
Of the 563 open roles that require it, most are in AI and machine learning (258), data science (93) and backend engineering (61).
What do Amazon SageMaker roles pay?
220 of the 563 roles state the pay. The middle of their posted ranges is $179k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Amazon SageMaker 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.