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).
313 AI roles tagged fine_tuning.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Capital One | Applied Researcher II, AI Foundations | Banking | 9 | Frontier research · Interpretability · RLHF · Vector DB |
| JPMorgan Chase | Applied Machine Learning Scientist - Vice President | Banking | 9 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · RAG · Model serving · Recommender systems · Multimodal · Agent research · RL post-training |
| JPMorgan Chase | Sr Director of Software Engineering - AI/ML platforms (Intelligent Agentic Systems, RAG, LLM Architectures) | Banking | 9 | Agent orchestration · RAG · Model serving · Search & ranking |
| Capital One | Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) | Banking | 9 | RL post-training · Frontier research · Vector DB |
| Capital One | Applied Researcher II | Banking | 9 | Pretraining · Inference infra · Model serving · Vector DB |
| Capital One | Principal Associate, Data Science - AI Foundations | Banking | 9 | Inference infra · Model serving · Agent orchestration · RAG · Vector DB · LLM observability |
| Capital One | Applied Researcher II (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | Pretraining · RL post-training · Frontier research · Agent research · Agent orchestration · Vector DB · Model serving · Recommender systems · Multimodal |
| Capital One | Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) | Banking | 9 | RL post-training · Pretraining · Frontier research · Vector DB |
| Capital One | Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) | Banking | 9 | RL post-training · Frontier research · Vector DB |
| Capital One | Senior Director, Applied Research | Banking | 9 | Pretraining · Frontier research · Vector DB |
| Capital One | Applied Researcher II | Banking | 9 | Frontier research · Pretraining · RL post-training · Vector DB · Model serving |
| JPMorgan Chase | Generative AI Executive Director | Banking | 9 | Agent orchestration · Multimodal · Inference infra · Model serving |
| JPMorgan Chase | Senior Lead Software Engineer- Java/Python/ AI Solutions | Banking | 9 | Agent orchestration · Tool use · LLM observability · RAG · Vector DB · Model serving · Agent research |
| JPMorgan Chase | Generative AI - Vice President | Banking | 9 | Agent orchestration · LLM observability · Model serving · Inference infra · Multimodal |
| JPMorgan Chase | AI Agents Applied Engineer - Senior Associate | Banking | 9 | Agent orchestration · Tool use · Model serving · Inference infra · Guardrails · LLM observability · Recommender systems · Search & ranking · RL post-training |
| JPMorgan Chase | AI Agents Applied Research/Engineering Lead - Vice President | Banking | 9 | Agent orchestration · Tool use · Guardrails · Model serving · Inference infra · Recommender systems · Search & ranking · RL post-training |
| Capital One | Applied Researcher I (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | RL post-training · Frontier research · Vector DB · Model serving |
| Capital One | Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) | Banking | 9 | RL post-training · Frontier research · Vector DB |
| Capital One | Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) | Banking | 9 | RL post-training · Frontier research · Vector DB |
| Capital One | Applied Researcher I | Banking | 9 | RL post-training · Frontier research · Pretraining · Vector DB |
| Capital One | Senior Manager, Data Scientist - Applied AI | Banking | 9 | Vector DB · Model serving |
| Capital One | Applied Researcher II (AI Foundations) | Banking | 9 | Pretraining · Frontier research · Vector DB |
| Capital One | Applied Researcher II (AI Foundations) | Banking | 9 | Pretraining · Frontier research · Vector DB |
| Capital One | Applied Researcher I (AI Foundations) | Banking | 9 | Pretraining · Frontier research · Vector DB · RLHF |
| Capital One | Distinguished Applied Researcher | Banking | 9 | Pretraining · Frontier research · Vector DB |
| Capital One | Applied Researcher II | Banking | 9 | Frontier research · Vector DB · Pretraining · RLHF |
| Capital One | Applied Researcher I (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | Pretraining · Frontier research · Agent research · Vector DB |
| Capital One | Applied Researcher II (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | Frontier research · Inference infra · Model serving · Pretraining · RL post-training · Vector DB |
| Capital One | Applied Researcher I (AI Foundations) | Banking | 9 | Pretraining · Vector DB |
| JPMorgan Chase | Machine Learning Scientist - Vice President | Banking | 9 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · RAG · Model serving · Recommender systems · RL post-training · Multimodal |