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.
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).
124 AI roles tagged pretraining.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Post-Doctoral Researcher, PhD, 2026 Start, DeepMind (Fixed-Term Contract) - | Big Tech | 10 | Frontier research | |
| Meta | Postdoctoral Researcher (PhD) - FAIR - Core Learning | Big Tech | 10 | Frontier research · Fine-tuning · Interpretability |
| Meta | Staff Research Scientist, FAIR (RL / LLM's) | Big Tech | 10 | Frontier research · Vision · Multimodal · Audio & speech · Code gen |
| Meta | Research Scientist, FAIR SGT - New York | Big Tech | 10 | Frontier research · Fine-tuning · Evals |
| Meta | Research Scientist, Artificial Intelligence | Big Tech | 10 | Frontier research · Fine-tuning · Agent research · Multimodal |
| Apple | AIML - Machine Learning Researcher, MLR | Big Tech | 10 | Frontier research · Interpretability · Multimodal |
| Meta | Fundamental AI Researcher - FAIR | Big Tech | 10 | Frontier research · Interpretability · Multimodal |
| Meta | Research Engineer - FAIR, SGT | Big Tech | 10 | Frontier research · Fine-tuning · Model serving · Evals · Code gen |
| Apple | AIML - Machine Learning Researcher, MLR | Big Tech | 10 | Frontier research · RL post-training · Multimodal · Audio & speech |
| Meta | AI Research Scientist - Meta Superintelligence Labs | Big Tech | 10 | Frontier research · Audio & speech · RL post-training · Fine-tuning · Evals |
| Meta | Research Scientist, FAIR | Big Tech | 10 | Frontier research · Fine-tuning |
| Meta | Research Scientist, FAIR SGT - Paris | Big Tech | 10 | Frontier research · Fine-tuning · Evals |
| Microsoft | Senior Researcher - Artificial Intelligence and Machine Learning - Microsoft Research | Big Tech | 10 | Frontier research · Interpretability · Evals |
| Meta | Research Scientist, AI Research (PhD) | Big Tech | 10 | Frontier research |
| Microsoft | Researcher | Big Tech | 10 | Frontier research |
| Microsoft | Senior Researcher - Foundations of Generative AI- Microsoft Research | Big Tech | 10 | Frontier research · Multimodal · Agent research · Vision |
| Meta | AI Research Scientist, Media Data Research - MSL FAIR | Big Tech | 10 | Synthetic data · Frontier research · Multimodal · Fine-tuning |
| Meta | AI Research Scientist, Text Data Research - MSL FAIR | Big Tech | 10 | Synthetic data · Frontier research · RL post-training · Agent research |
| Meta | Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) | Big Tech | 10 | Frontier research · Multimodal · Vision · Audio & speech |
| ByteDance | Research Scientist - Seed Multimodal Interaction and World Model | Big Tech | 10 | Multimodal · Frontier research · RL post-training · Agent research |
| Amazon | Member of Technical Staff, Artificial General Intelligence | Big Tech | 9 | Frontier research · Fine-tuning · Multimodal · LLM observability |
| Apple | AIML - Machine Learning Researcher - MLR | Big Tech | 9 | Frontier research · Interpretability · Model serving |
| Software Engineer, Foundational ML Research | Big Tech | 9 | Fine-tuning · Frontier research | |
| ByteDance | Research Scientist - 3D/4D Reconstruction/Generation, PICO | Big Tech | 9 | Multimodal · Fine-tuning · Evals |
| Meta | Research Scientist, AI & Systems Co-design (PhD) | Big Tech | 9 | Inference infra · Model serving · Frontier research · Fine-tuning · Recommender systems |
| Research Engineer, Pretraining, DeepMind | Big Tech | 9 | Fine-tuning · Model serving · Inference infra | |
| Meta | AI Research Scientist - Language - Meta AI (MRS) | Big Tech | 9 | Frontier research · LLM observability · Recommender systems · Search & ranking |
| Senior Staff Engineer, TPU Co-Design | Big Tech | 9 | Inference infra · Model serving · Frontier research | |
| Staff AI Research Engineer, Large User Models | Big Tech | 9 | Recommender systems · Frontier research · Evals | |
| Amazon | Software Engineer I - AI/ML, AWS Neuron Distributed Training | Big Tech | 9 | Fine-tuning · Model serving · Inference infra |