Adapting a pretrained model to specific data or behavior through additional training, including supervised fine-tuning, preference tuning (DPO, ORPO), and LoRA-style parameter-efficient methods. Primary AI lifecycle stage: post-training.
1,893 active AI roles across 204 companies in our index reference Fine-tuning as of today. New postings fell 23% in the last 30 days versus the prior 30 (830 → 636).
The companies with the most active Fine-tuning listings are: Amazon (235 roles), Capital One (127 roles), Google (98 roles), JPMorgan Chase (86 roles), NVIDIA (77 roles).
Fine-tuning primarily belongs to the post-training stage of the AI lifecycle. In current hiring, Fine-tuning roles concentrate at: agents (44%), post-training (26%).
The sectors with the most active Fine-tuning hiring are: Big Tech, Enterprise, Banking.
20 AI roles tagged fine_tuning.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| GEICO | Staff Machine Learning Engineer | Insurance | 8 | Agent orchestration · Agent research · LLM observability · RAG · Model serving · Inference infra |
| GEICO | Staff Applied Research Scientist | Insurance | 8 | Model serving · Recommender systems · LLM observability · Guardrails · RAG |
| State Farm | Lead Data Scientist - Gen AI | Insurance | 8 | Agent orchestration · Vision · Model serving |
| Allstate | AI Engineer Lead | Insurance | 8 | Agent orchestration · LLM observability · RAG · Vector DB · Model serving · Guardrails · Agent research |
| MetLife | Principal Architect (AI, Cloud & Azure) | Insurance | 8 | Agent orchestration · RAG · Model serving · LLM observability · Vector DB |
| GEICO | Senior Staff Machine Learning Engineer | Insurance | 8 | Agent orchestration · Tool use · Model serving |
| GEICO | Senior Staff Machine Learning Engineer | Insurance | 8 | Agent orchestration · Tool use · Model serving |
| GEICO | Senior Staff Machine Learning Engineer, AI Agent Platform | Insurance | 8 | Agent orchestration · Agent research · Inference infra · Model serving · RAG · Guardrails · LLM observability · Evals · Tool use |
| MetLife | Lead Data Scientist | Insurance | 8 | Model serving · Inference infra · RAG · Vector DB |
| MetLife | Senior AI Scientist | Insurance | 7 | LLM observability · RAG · Model serving |
| GEICO | Machine Learning Engineer II | Insurance | 7 | Model serving · Inference infra |
| Allstate | Senior AI Engineer | Insurance | 7 | Agent orchestration · LLM observability · RAG · Model serving |
| MetLife | Associate Data Scientist | Insurance | 7 | LLM observability |
| Allstate | Senior AI Software Engineer | Insurance | 7 | RAG · Vector DB · Model serving |
| MetLife | MLOps Engineer | Insurance | 7 | Model serving · Inference infra · LLM observability · RAG |
| GEICO | Senior Machine Learning Engineer | Insurance | 7 | Agent orchestration · Tool use · Inference infra · Model serving · LLM observability · RAG · Evals |
| MetLife | Senior Data Scientist I | Insurance | 7 | LLM observability |
| MetLife | Senior AI Engineer I | Insurance | 7 | Model serving · Inference infra · RAG · Vector DB · LLM observability |
| Premera Blue Cross | Solution Architect/AI Engineer IV | Insurance | 7 | Model serving · Inference infra · RAG · Guardrails · LLM observability |
| MetLife | Data Scientist - Pet Insurance | Insurance | 7 | Agent orchestration · LLM observability · RAG · Model serving |
Adapting a pretrained model to specific data or behavior through additional training, including supervised fine-tuning, preference tuning (DPO, ORPO), and LoRA-style parameter-efficient methods.
Primary AI lifecycle stage: post-training.
As of today, 1,893 active AI roles across 204 companies in our index reference Fine-tuning. Hiring concentrates at the agents (44%) and post-training (26%) stages. Most common sectors: Big Tech, Enterprise, Banking. New postings fell 23% in the last 30 days versus the prior 30 (830 → 636).