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.
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).
18 AI roles tagged fine_tuning.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Northrop Grumman | AI Software Engineer – Level 3 or 4 | Aerospace | 9 | RL robotics · Embodied AI · Model serving · Inference infra |
| Northrop Grumman | Principal / Sr Principal AI Software Engineer | Aerospace | 8 | Model serving · Inference infra · Evals |
| Northrop Grumman | AI Systems Engineer (Principal or Sr. Principal Level) | Aerospace | 8 | Model serving · Inference infra · Evals |
| Northrop Grumman | AI Engineer Software (Level 2 or 3) | Aerospace | 8 | RAG · Agent orchestration · Tool use · Model serving · LLM observability · Evals |
| Boeing | AI/ML Researcher (Multimodal) | Aerospace | 8 | Multimodal · Vision · RAG · Model serving · Inference infra |
| Northrop Grumman | Staff AI Software Engineer | Aerospace | 8 | Agent orchestration · Evals |
| Boeing | AI/ML Researcher (Multimodal) | Aerospace | 8 | Multimodal · Vision · Model serving · RAG |
| Boeing | Junior Data Scientist | Aerospace | 7 | RAG · Agent orchestration · LLM observability |
| Northrop Grumman | Principal / Sr. Principal Signal / Image Processing Engineer | Aerospace | 7 | |
| Northrop Grumman | Software Engineer: Automation/AI - Level 3 (Chandler) | Aerospace | 7 | Agent orchestration · Tool use · LLM observability · RAG · Vector DB · Model serving · Inference infra |
| Boeing | Data Scientist (Data Science) | Aerospace | 7 | Evals · RAG · Vector DB · Model serving |
| Boeing | Senior Data Scientist | Aerospace | 7 | Evals · Guardrails · Multimodal · LLM observability · RAG · Vector DB · Model serving |
| Boeing | Mid-Level Generative Artificial Intelligence (GenAI) Search Solutions Developer | Aerospace | 7 | RAG · Vector DB · Model serving · Search & ranking |
| Boeing | Associate Support Engineering Data Specialist | Aerospace | 7 | RAG · Semantic search · LLM observability |
| Boeing | Senior Human Resources Data Scientist | Aerospace | 7 | Model serving · Evals |
| Boeing | Lead Software Engineer - AI/ML | Aerospace | 7 | RAG · Agent orchestration · Multimodal |
| Boeing | Senior Data Scientist | Aerospace | 7 | Model serving · Inference infra · RAG · Agent orchestration · Vector DB |
| Boeing | Mid-Level Business Intelligence Analyst | Aerospace | 5 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · RAG · Vector DB · Inference infra · Model serving |