Personalized ranking systems that predict which items a user will engage with — historically classical ML, increasingly LLM-augmented with semantic reranking and conversational interfaces.
Primary AI lifecycle stage: application.
As of today, 844 active AI roles across 98 companies in our index reference Recommender systems. Hiring concentrates at the application (49%) and agents (35%) stages. Most common sectors: Big Tech, Consumer, Enterprise.
Personalized ranking systems that predict which items a user will engage with — historically classical ML, increasingly LLM-augmented with semantic reranking and conversational interfaces. Primary AI lifecycle stage: application.
844 active AI roles across 98 companies in our index reference Recommender systems as of today.
The companies with the most active Recommender systems listings are: Amazon (221 roles), Google (52 roles), Walmart (49 roles), Apple (33 roles), JPMorgan Chase (28 roles).
Recommender systems primarily belongs to the application stage of the AI lifecycle. In current hiring, Recommender systems roles concentrate at: application (49%), agents (35%).
The sectors with the most active Recommender systems hiring are: Big Tech, Consumer, Enterprise.
3 AI roles tagged recommender_systems.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Smartsheet | Sr Principal Data Scientist | Seattle | 8 | Agent orchestration · Tool use · Evals · Guardrails · RAG · Fine-tuning · Model serving · LLM observability |
| Redfin | Remote Senior Applied Machine Learning Engineer - Applied Machine Learning Team | Seattle | 7 | Model serving · Inference infra |
| Smartsheet | Sr. Data Scientist (Hybrid in Bangalore) | Seattle | 5 |