Companies in the United States using Fine-tuning
713 companies headquartered in the United States list Fine-tuning as a requirement in 1,963 open roles. Most of those roles are in AI and machine learning, backend engineering and solutions engineering teams. Fine-tuning most often appears next to Python, LLM, AWS, AI Agents and CI/CD. Roles that need it and state the pay sit at $201k a year in the middle.
Companies with the most open Fine-tuning roles
25 of 713 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Rubrik | 501-1000 | 71 | Sales, Backend engineering, HR and recruiting | $203k |
 TikTok | 1001-5000 | 65 | AI and machine learning, Data science, Finance | — |
 Google | 11-50 | 59 | AI and machine learning, Backend engineering, Engineering leadership | — |
 NVIDIA | 5000+ | 51 | AI and machine learning, Solutions engineering, Product management | $236k |
 Together AI | 501-1000 | 47 | AI and machine learning, Backend engineering, DevOps and infrastructure | $215k |
 Citi | 5000+ | 32 | AI and machine learning, Backend engineering, Product management | $157k |
 Amazon | 5000+ | 30 | Solutions engineering, AI and machine learning, Customer success | $188k |
 Databricks | 5000+ | 25 | AI and machine learning, Solutions engineering, Backend engineering | $226k |
 Celonis | 1001-5000 | 24 | AI and machine learning, Solutions engineering, Industrial engineering | — |
 UnitedHealth Group | 5000+ | 23 | AI and machine learning, Data science, Backend engineering | $160k |
 Fireworks AI | 1001-5000 | 21 | AI and machine learning, Sales, Solutions engineering | $230k |
 Cisco Systems | 5000+ | 17 | AI and machine learning, Backend engineering, Solutions engineering | $266k |
 JPMorganChase | 5000+ | 17 | AI and machine learning, Backend engineering, Engineering leadership | — |
 Anthropic | 1001-5000 | 15 | AI and machine learning, Backend engineering, Engineering leadership | $384k |
 CoreWeave | 501-1000 | 15 | Solutions engineering, AI and machine learning, Product management | $212k |
 Scale AI | 1001-5000 | 13 | AI and machine learning, Backend engineering, Robotics | $229k |
 Qualcomm | 5000+ | 13 | AI and machine learning, Industrial engineering, Early careers | $148k |
 Capital One | 5000+ | 13 | AI and machine learning, Data science, Engineering leadership | $211k |
 Innodata | 13 | AI and machine learning, Data science, Analytics | $30k | |
 Atlassian | 5000+ | 12 | AI and machine learning | — |
 Hewlett Packard Enterprise | 5000+ | 12 | AI and machine learning, Data science, DevOps and infrastructure | — |
 Fitch Group | 1001-5000 | 12 | AI and machine learning, Data science | $145k |
 The Infatuation | 1001-5000 | 11 | AI and machine learning, Backend engineering, Data science | — |
 Adobe | 5000+ | 9 | AI and machine learning, Backend engineering, Hardware engineering | $209k |
 Cotiviti | 1001-5000 | 9 | AI and machine learning | $167k |
Fine-tuning in other countries
What these companies also use
Teams hiring for Fine-tuning
Get all 713 companies as a list
Name, website, size, industry and headquarters of every company that requires Fine-tuning, through the API (company.getList with technology=Fine-tuning and country=US). 713 companies × 0.02 credits = 14.26 credits ($1.43).
Questions
How do you know a company uses Fine-tuning?
A company counts when at least one of its open job postings lists Fine-tuning 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 Fine-tuning itself are left out.
Which teams hire for Fine-tuning?
Of the 1,963 open roles that require it, most are in AI and machine learning (1,046), backend engineering (177) and solutions engineering (132).
What do Fine-tuning roles pay?
858 of the 1,963 roles state the pay. The middle of their posted ranges is $201k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Fine-tuning 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.