Information retrieval systems that order results by relevance, increasingly using neural rerankers and LLM-augmented post-processing on top of traditional inverted-index retrieval.
Primary AI lifecycle stage: application.
As of today, 490 active AI roles across 85 companies in our index reference Search & ranking. Hiring concentrates at the application (46%) and agents (42%) stages. Most common sectors: Big Tech, Consumer, Enterprise.
Information retrieval systems that order results by relevance, increasingly using neural rerankers and LLM-augmented post-processing on top of traditional inverted-index retrieval. Primary AI lifecycle stage: application.
490 active AI roles across 85 companies in our index reference Search & ranking as of today.
The companies with the most active Search & ranking listings are: Amazon (94 roles), Google (41 roles), Apple (26 roles), Reddit (18 roles), Pinterest (17 roles).
Search & ranking primarily belongs to the application stage of the AI lifecycle. In current hiring, Search & ranking roles concentrate at: application (46%), agents (42%).
The sectors with the most active Search & ranking hiring are: Big Tech, Consumer, Enterprise.
105 AI roles tagged search_ranking.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Elastic | Principal Data Scientist - Agent Builder | Enterprise | 9 | Agent orchestration · RAG · Evals · LLM observability · Model serving |
| Elastic | Principal Data Scientist - Agent Builder | Enterprise | 9 | Agent orchestration · RAG · Evals · LLM observability · Model serving |
| Elastic | Principal Data Scientist - Agent Builder | Enterprise | 9 | Agent orchestration · RAG · Evals · LLM observability · Model serving |
| Elastic | Principal Data Scientist - Agent Builder | Enterprise | 9 | Agent orchestration · RAG · Evals · LLM observability · Model serving |
| Elastic | Principal Data Scientist - Agent Builder | Enterprise | 9 | Agent orchestration · RAG · Evals · LLM observability · Model serving |
| CrowdStrike | Sr. Data Scientist (Hybrid) | Enterprise | 9 | Agent orchestration · RAG · Vector DB · LLM observability · Model serving · Recommender systems |
| Elastic | Principal Data Scientist - Agent Builder | Enterprise | 9 | Agent orchestration · RAG · Evals · LLM observability · Model serving · Vector DB |
| Box | Machine Learning Engineer III, Core Agents | Enterprise | 9 | Agent orchestration · RAG · Evals · LLM observability |
| 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 · Recommender systems |
| Adobe | Staff Machine Learning Engineer/Architect– Agentic AI & Personalization | Enterprise | 9 | Agent orchestration · Recommender systems · Inference infra · Model serving · LLM observability |
| Unity | Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) | Enterprise | 8 | Recommender systems · RL post-training |
| Unity | Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) | Enterprise | 8 | Recommender systems · RL post-training |
| Unity | Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) | Enterprise | 8 | Recommender systems · RL post-training |
| Adobe | Principal Applied Scientist | Enterprise | 8 | Multimodal · RAG · Agent orchestration |
| Autodesk | Senior Machine Learning Engineer | Enterprise | 8 | Agent orchestration · RAG · Fine-tuning · Model serving |
| Salesforce | Staff ML Engineer, Fine Tuning - Slack | Enterprise | 8 | Fine-tuning · Model serving · Recommender systems |
| Workday | Machine Learning Engineer III | Enterprise | 8 | Agent orchestration · Evals · RAG · Vector DB · Fine-tuning · Model serving · Recommender systems · 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 · Recommender systems · Fine-tuning |
| Adobe | Senior Agentic AI Engineer | Enterprise | 8 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · RAG · Vector DB · Model serving · Recommender systems |
| Glean | Machine Learning Engineer, Enterprise Brain | Enterprise | 8 | Agent orchestration · Agent research · Fine-tuning · RL post-training · Evals · LLM observability · Recommender systems |
| Moveworks | Sr. MLE, GAI Search Platform - JB0070751 | Enterprise | 8 | Recommender systems · RAG · Agent orchestration · LLM observability · Model serving · Inference infra |
| Dropbox | Senior Engineering Manager, Core Media & Intelligence | Enterprise | 8 | Agent orchestration · LLM observability · RAG · Vector DB · Fine-tuning · Model serving · Recommender systems · Vision · Multimodal |
| Moveworks | MLE Manager, GAI Search Relevance - JB0070741 | Enterprise | 8 | Recommender systems · RAG · LLM observability · Agent orchestration |
| Glean | Software Engineer, Machine Learning | Enterprise | 8 | Recommender systems · Agent orchestration · Fine-tuning · Model serving |
| Glean | Machine Learning Engineer, Search Quality | Enterprise | 8 | Recommender systems · Fine-tuning · Model serving · Agent orchestration · RAG |
| Asana | Senior Software Engineer, AI Retrieval | Enterprise | 7 | RAG · Vector DB · Inference infra · Model serving |
| Notion | Engineering Manager, Search & Context Platform | Enterprise | 7 | Agent orchestration · RAG · Vector DB · Model serving · LLM observability |
| Elastic | Principal Search Consulting Architect | Enterprise | 7 | RAG · Vector DB · Model serving · LLM observability |
| Elastic | Principal Search Consulting Architect | Enterprise | 7 | Vector DB · RAG · Model serving · Inference infra |
| ClickUp | Staff Backend Engineer, Search | Enterprise | 7 | RAG · Vector DB · LLM observability · Model serving |