Companies in the United States using Recommender Systems
247 companies headquartered in the United States list Recommender Systems as a requirement in 865 open roles. Most of those roles are in AI and machine learning, data science and backend engineering teams. Recommender Systems most often appears next to Python, Machine Learning, SQL, AWS and CI/CD. Roles that need it and state the pay sit at $205k a year in the middle.
Companies with the most open Recommender Systems roles
25 of 247 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 TikTok | 1001-5000 | 278 | AI and machine learning, Backend engineering, Data science | — |
 NewsBreak | 201-500 | 48 | AI and machine learning, Marketing, Sales | $135k |
 Pinterest | 1001-5000 | 20 | AI and machine learning, Product management, Management | $219k |
 CapTech | 16 | AI and machine learning | $145k | |
 NVIDIA | 5000+ | 14 | AI and machine learning, Backend engineering, Sales | $263k |
 Reddit | 1001-5000 | 12 | AI and machine learning, Mobile engineering, Management | $276k |
 Google | 11-50 | 12 | AI and machine learning, Backend engineering, Product management | — |
 Air Apps | 1001-5000 | 11 | Product management | $75k |
 Bumble | 10 | AI and machine learning, Backend engineering | $324k | |
 Perplexity AI | 1001-5000 | 8 | AI and machine learning, Engineering leadership | — |
 Faire | 1001-5000 | 8 | AI and machine learning | $251k |
 Roku | 1001-5000 | 7 | AI and machine learning, Product management, Backend engineering | $272k |
 YouTube | 1001-5000 | 7 | AI and machine learning, Engineering leadership | — |
 Workday | 1001-5000 | 7 | AI and machine learning | — |
 Roblox Corporation | 5000+ | 6 | AI and machine learning, Marketing, Data science | $305k |
 Yobi | 11-50 | 6 | AI and machine learning, Backend engineering, Sales | $228k |
 DoorDash | 5000+ | 6 | AI and machine learning, Early careers | $8.7k |
 Capital One | 5000+ | 6 | Data science, Management | $202k |
 Warner Bros. Discovery | 1001-5000 | 6 | Data science, AI and machine learning, Product management | — |
 Chalk | 51-200 | 6 | Solutions engineering | — |
 UnitedHealth Group | 5000+ | 6 | AI and machine learning, Data science, QA and testing | — |
 GEICO | 1001-5000 | 6 | AI and machine learning, Backend engineering, Product management | $159k |
 Qualcomm | 5000+ | 5 | AI and machine learning, Marketing | — |
 The Walt Disney Company | 1001-5000 | 5 | AI and machine learning, Data science, Analytics | $182k |
 Match Group | 1001-5000 | 5 | Mobile engineering, Engineering leadership, AI and machine learning | $196k |
Recommender Systems in other countries
What these companies also use
Teams hiring for Recommender Systems
Get all 247 companies as a list
Name, website, size, industry and headquarters of every company that requires Recommender Systems, through the API (company.getList with technology=Recommender Systems and country=US). 247 companies × 0.02 credits = 4.94 credits ($0.49).
Questions
How do you know a company uses Recommender Systems?
A company counts when at least one of its open job postings lists Recommender Systems 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 Recommender Systems itself are left out.
Which teams hire for Recommender Systems?
Of the 865 open roles that require it, most are in AI and machine learning (415), data science (98) and backend engineering (90).
What do Recommender Systems roles pay?
287 of the 865 roles state the pay. The middle of their posted ranges is $205k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Recommender Systems 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.