Initial large-scale training of foundation models on massive unlabeled corpora to learn general representations; the most compute-intensive stage of the lifecycle.
Primary AI lifecycle stage: pre-training.
As of today, 224 active AI roles across 45 companies in our index reference Pretraining. Hiring concentrates at the pre-training (65%) and post-training (21%) stages. Most common sectors: Big Tech, AI Frontier, Semiconductors. New postings fell 34% in the last 30 days versus the prior 30 (59 → 39).
Initial large-scale training of foundation models on massive unlabeled corpora to learn general representations; the most compute-intensive stage of the lifecycle. Primary AI lifecycle stage: pre-training.
224 active AI roles across 45 companies in our index reference Pretraining as of today. New postings fell 34% in the last 30 days versus the prior 30 (59 → 39).
The companies with the most active Pretraining listings are: Capital One (25 roles), NVIDIA (22 roles), Meta (19 roles), Microsoft (19 roles), Google (13 roles).
Pretraining primarily belongs to the pre-training stage of the AI lifecycle. In current hiring, Pretraining roles concentrate at: pre-training (65%), post-training (21%).
The sectors with the most active Pretraining hiring are: Big Tech, AI Frontier, Semiconductors.
26 AI roles tagged pretraining.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Capital One | Applied Researcher II | Banking | 9 | Fine-tuning · Inference infra · Model serving · Vector DB |
| Capital One | Applied Researcher II (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | Fine-tuning · 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 | Fine-tuning · RL post-training · Frontier research · Vector DB |
| Capital One | Senior Director, Applied Research | Banking | 9 | Fine-tuning · Frontier research · Vector DB |
| Capital One | Applied Researcher II | Banking | 9 | Fine-tuning · Frontier research · RL post-training · Vector DB · Model serving |
| Capital One | Applied Researcher I | Banking | 9 | Fine-tuning · RL post-training · Frontier research · Vector DB |
| Capital One | Applied Researcher II (AI Foundations) | Banking | 9 | Fine-tuning · Frontier research · Vector DB |
| Capital One | Applied Researcher II (AI Foundations) | Banking | 9 | Fine-tuning · Frontier research · Vector DB |
| Capital One | Applied Researcher I (AI Foundations) | Banking | 9 | Fine-tuning · Frontier research · Vector DB · RLHF |
| Capital One | Distinguished Applied Researcher | Banking | 9 | Fine-tuning · Frontier research · Vector DB |
| Capital One | Applied Researcher II | Banking | 9 | Fine-tuning · Frontier research · Vector DB · RLHF |
| Capital One | Applied Researcher I (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | Fine-tuning · Frontier research · Agent research · Vector DB |
| Capital One | Applied Researcher II (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | Fine-tuning · Frontier research · Inference infra · Model serving · RL post-training · Vector DB |
| Capital One | Applied Researcher I (AI Foundations) | Banking | 9 | Fine-tuning · Vector DB |
| Capital One | Sr. Distinguished Applied Researcher | Banking | 9 | Fine-tuning · Inference infra · Model serving · Vector DB · Frontier research |
| Capital One | Lead Machine Learning Engineer (Manager IC) | Banking | 8 | Fine-tuning · Model serving |
| Capital One | Senior Distinguished Engineer, AI Compute (Remote Eligible) | Banking | 8 | Model serving · Inference infra · Fine-tuning · Agent orchestration |
| Capital One | Applied Researcher I | Banking | 8 | Fine-tuning · Frontier research · Interpretability · RL post-training · Vector DB · Model serving |
| Capital One | Applied Researcher II (AI Foundations, LLM Core and Agentic AI) | Banking | 8 | Fine-tuning · Frontier research · Vector DB · LLM observability · Model serving · RL post-training |
| Capital One | Applied Researcher II (AI Foundations) | Banking | 8 | Fine-tuning · Frontier research · Vector DB |
| Capital One | Applied Researcher I | Banking | 8 | Fine-tuning · Frontier research · RL post-training · Vector DB |
| Capital One | Applied Researcher I | Banking | 8 | Fine-tuning · Frontier research · Vector DB |
| Capital One | Applied Researcher II (AI Foundations) | Banking | 8 | Fine-tuning · RLHF · Vector DB |
| Capital One | Applied Researcher I | Banking | 8 | Fine-tuning · Frontier research · RL post-training · Vector DB |
| Capital One | Applied Researcher I (AI Foundations) | Banking | 8 | Fine-tuning · Vector DB · Frontier research · Interpretability · RLHF |
| Capital One | Distinguished Software Engineer - IFX | Banking | 7 | Inference infra · Model serving · Fine-tuning · Agent orchestration |