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).
465 AI roles tagged fine_tuning.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Unity | Staff Machine Learning Engineer - Computer Vision & Multi-Modal AI | Enterprise | 9 | Multimodal · Model serving · Inference infra · Quantization |
| Adobe | Staff Agentic ML Engineer - Photoshop | Enterprise | 9 | Agent orchestration · Tool use · Evals · Model serving · Multimodal · Vision · RL post-training · Reward modeling |
| Rubrik | Senior Machine Learning Engineer | Enterprise | 9 | RL post-training · Model serving · Inference infra · Synthetic data · Evals · Guardrails · LLM observability |
| CrowdStrike | Data Scientist, Agentic Systems (Remote) | Enterprise | 9 | Agent orchestration · Agent research · Tool use · Evals · Guardrails · RL post-training · LLM observability · Model serving |
| CrowdStrike | AI Engineer(Remote, IND) | Enterprise | 9 | Agent orchestration · Agent research · RAG · Vector DB · Model serving · LLM observability · Evals · Guardrails · Tool use |
| Oracle | Principal AI Agent / ML Software Engineer (OCI) | Enterprise | 9 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · RAG · Vector DB · Inference infra · Model serving |
| Salesforce | Software Engineering LMTS | Enterprise | 9 | RL post-training · Frontier research · Agent research · Model serving |
| Oracle | Applied Scientist 3 | Enterprise | 9 | Synthetic data · Multimodal · Evals · LLM observability |
| Salesforce | Principal Architect | Enterprise | 9 | Agent orchestration · Multi-agent · Evals · Guardrails · LLM observability · RAG · Model serving · Agent research |
| Adobe | Applied Scientist 5.5 | Enterprise | 9 | Inference infra · Model serving · Multimodal · Evals |
| Adobe | Applied Scientist 5 | Enterprise | 9 | Model serving · Inference infra · Vision · Multimodal |
| Salesforce | Forward Deployed Engineering Lead | Enterprise | 9 | Agent orchestration · LLM observability · RAG · Vector DB · Model serving |
| Oracle | Principal Applied Scientist | Enterprise | 9 | Agent orchestration · Tool use · RAG · Model serving · LLM observability · Guardrails |
| Adobe | Machine Learning Engineer 5 | Enterprise | 9 | Agent orchestration · RL post-training · Evals · Model serving · RAG |
| Adobe | Machine Learning Engineer 5 | Enterprise | 9 | Agent orchestration · RL post-training · Evals · Model serving · RAG |
| Adobe | Principal Scientist - Agentic Product | Enterprise | 9 | Agent orchestration · Tool use · Evals · RAG · Model serving · LLM observability |
| Axon | AI Scientist I | Enterprise | 9 | Vision · Multimodal · Inference infra · Model serving |
| ABBYY | Principal Machine Learning Engineer - Model Efficiency Optimization | Enterprise | 9 | Model serving · Inference infra · Quantization · Multimodal · Vision |
| Adobe | Sr Applied Scientist, Generative AI/ML | Enterprise | 9 | Multimodal · Pretraining · Model serving · Vision · Audio & speech |
| Adobe | Staff Applied Scientist | Enterprise | 9 | Pretraining · Multimodal · Vision · Model serving |
| Canva | Senior Research Engineer - Video | Enterprise | 9 | Multimodal · Model serving · Inference infra · Vision |
| Adobe | Machine Learning Engineer 5 | Enterprise | 9 | Model serving · Inference infra · Evals · Multimodal |
| Adobe | Senior Research Engineer, Generative Prototyping | Enterprise | 9 | Multimodal · Agent orchestration · Model serving |
| Oracle | Software Developer - Architect | Enterprise | 9 | Agent orchestration · Multi-agent · RAG · LLM observability |
| Adobe | Machine Learning Engineer 4 | Enterprise | 9 | Model serving · Inference infra · Multimodal |
| Adobe | Sr Staff Machine Learning Engineer, Adobe Firefly Services | Enterprise | 9 | Model serving · Inference infra |
| Elastic | Lead GenAI Cloud Developer | Enterprise | 9 | Agent orchestration · RAG · Vector DB · Model serving · Inference infra · LLM observability · Evals · Tool use · Guardrails |
| Adobe | Staff Applied Scientist - AI Guardrails | Enterprise | 9 | Guardrails · Multimodal · Model serving · Evals |
| Adobe | Research Scientist | Enterprise | 9 | Frontier research · Multimodal · Model serving · Evals |
| Adobe | Staff Applied Scientist, Generative AI/ML | Enterprise | 9 | Multimodal · Pretraining · Model serving · Frontier research · Vision · Audio & speech |