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.
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.
145 AI roles tagged recommender_systems.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| CrowdStrike | Sr. Data Scientist (Hybrid) | Enterprise | 9 | Agent orchestration · RAG · Vector DB · LLM observability · Model serving · Search & ranking |
| Workday | Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform | Enterprise | 9 | Agent orchestration · RAG · Vector DB · Fine-tuning · Model serving · Evals · LLM observability · Search & ranking |
| Adobe | Staff Machine Learning Engineer/Architect– Agentic AI & Personalization | Enterprise | 9 | Agent orchestration · Search & ranking · Inference infra · Model serving · LLM observability |
| Oracle | Applied Scientist 5 | Enterprise | 8 | Vision |
| Unity | Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) | Enterprise | 8 | Search & ranking · RL post-training |
| Unity | Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) | Enterprise | 8 | Search & ranking · RL post-training |
| Unity | Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) | Enterprise | 8 | Search & ranking · RL post-training |
| Oracle | Applied Scientist 5 | Enterprise | 8 | Vision |
| Workday | Machine Learning Engineer - Document Intelligence | Enterprise | 8 | RAG · Agent orchestration · Fine-tuning · Model serving |
| Salesforce | Staff ML Engineer, Fine Tuning - Slack | Enterprise | 8 | Fine-tuning · Model serving · Search & ranking |
| Salesforce | Lead AI Engineer, Data Solutions | Enterprise | 8 | Agent orchestration · Tool use · Evals · Fine-tuning · Model serving · Forecasting |
| Workday | Sr Product Manager, AI Services- Agent Platform | Enterprise | 8 | Agent orchestration · RAG |
| Unity | Staff Machine Learning Engineer, Vector Bidding Science | Enterprise | 8 | Model serving |
| Unity | Senior Machine Learning Engineer, Vector Bidding Science | Enterprise | 8 | |
| Adobe | Machine Learning Engineer -4 – Agentic AI & Personalization | Enterprise | 8 | Agent orchestration · Inference infra · Model serving · LLM observability |
| Salesforce | Lead AI Engineer | Enterprise | 8 | Agent orchestration · Tool use · Evals · Fine-tuning · Model serving · Forecasting |
| Adobe | Principal Engineer AI/ML | Enterprise | 8 | Model serving · Fine-tuning · Multi-agent |
| Autodesk | Senior Applied Scientist, Personalization & Agentic Systems | Enterprise | 8 | Agent orchestration · LLM observability · RAG · Inference infra · Model serving · Tool use |
| Workday | Senior Machine Learning Engineer | Enterprise | 8 | Agent orchestration · LLM observability · Model serving · Inference infra · RAG · Fine-tuning |
| Workday | Machine Learning Engineer III | Enterprise | 8 | Agent orchestration · Evals · RAG · Vector DB · Fine-tuning · Model serving · Search & ranking · LLM observability |
| Dropbox | Senior Machine Learning Engineer, Dash Agentic AI | Enterprise | 8 | Agent orchestration · Agent research · Tool use · RAG · LLM observability · Model serving · Inference infra · Search & ranking · Fine-tuning |
| Adobe | Machine Learning Architect 5 - GenAI Experiences | Enterprise | 8 | Agent orchestration · RAG · LLM observability · Inference infra · Model serving |
| Unity | Senior Data Scientist | Enterprise | 8 | Model serving · Fine-tuning |
| Adobe | Senior Machine Learning Engineer | Enterprise | 8 | Fine-tuning · LLM observability · RAG · Model serving |
| Adobe | Senior ML/AI Engineering Manager, GenAI Experiences | Enterprise | 8 | Agent orchestration · Inference infra · Model serving |
| Adobe | Sr. Applied Scientist | Enterprise | 8 | Fine-tuning · Model serving · Inference infra · Multimodal · Evals · LLM observability |
| Adobe | Staff Machine Learning Engineer 5 | Enterprise | 8 | Agent orchestration · Fine-tuning · Inference infra · Model serving |
| Adobe | Senior Agentic AI Engineer | Enterprise | 8 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · RAG · Vector DB · Model serving · Search & ranking |
| Glean | Machine Learning Engineer, Enterprise Brain | Enterprise | 8 | Agent orchestration · Agent research · Fine-tuning · RL post-training · Evals · LLM observability · Search & ranking |
| Moveworks | Sr. MLE, GAI Search Platform - JB0070751 | Enterprise | 8 | Search & ranking · RAG · Agent orchestration · LLM observability · Model serving · Inference infra |