11 AI roles tagged pretraining.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Scale AI | Technical Lead Manager, Physical AI | Data AI | 9 | Frontier research · Fine-tuning · Embodied AI · Multimodal · Vision · RL robotics · Model serving |
| Databricks | Senior GenAI Research Scientist - AI Efficiency & Optimization | Data AI | 9 | Frontier research · Fine-tuning · Inference infra · Model serving |
| Crusoe | Senior Director, AI Model LifeCycle | Data AI | 9 | Fine-tuning · RL post-training · Multimodal · LLM observability |
| Databricks | Principal Research Scientist – Scaling | Data AI | 9 | Fine-tuning · Inference infra · Model serving |
| Weights & Biases | VP of Product, Research and Training Infrastructure | Data AI | 9 | Frontier research · RL post-training · RLHF · Inference infra · Model serving |
| Crusoe | Senior Staff Software Engineer, AI Model LifeCycle | Data AI | 9 | Fine-tuning · RL post-training · Reward modeling · Multimodal · LLM observability |
| Crusoe | Staff Software Engineer, AI Model LifeCycle | Data AI | 9 | Fine-tuning · RL post-training · Multimodal · LLM observability · Model serving |
| Fireworks AI | Member of Technical Staff, Research | Data AI | 9 | Frontier research · Multimodal · Fine-tuning · Model serving |
| Snowflake | Research Intern (AI) - 2026 | Data AI | 8 | Frontier research |
| Together AI | Together Cloud Infrastructure Engineer | Data AI | 7 | Inference infra · Model serving · LLM observability |
| Together AI | Senior Software Engineer - Together Cloud Infrastructure | Data AI | 7 | Inference infra · Model serving |
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.