Compressing model weights to lower numerical precision (INT8, FP4, INT4) so inference costs less memory and runs faster, with minimal quality loss. Primary AI lifecycle stage: serving infrastructure.
69 active AI roles across 25 companies in our index reference Quantization as of today.
The companies with the most active Quantization listings are: NVIDIA (16 roles), Amazon (6 roles), ByteDance (5 roles), Intel (5 roles), Rivian (5 roles).
Quantization primarily belongs to the serving infrastructure stage of the AI lifecycle. In current hiring, Quantization roles concentrate at: serving infrastructure (84%), post-training (12%).
The sectors with the most active Quantization hiring are: Semiconductors, Big Tech, Robotics.
7 AI roles tagged quantization.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Unity | Staff Machine Learning Engineer - Computer Vision & Multi-Modal AI | Enterprise | 9 | Multimodal · Model serving · Inference infra · Fine-tuning |
| ABBYY | Principal Machine Learning Engineer - Model Efficiency Optimization | Enterprise | 9 | Model serving · Inference infra · Fine-tuning · Multimodal · Vision |
| Canva | Research Scientist - Efficient AI 高性能AI大模型研究科学家 | Enterprise | 9 | Frontier research · Pretraining · Fine-tuning · Model serving · Inference infra · Multimodal · Distillation |
| Unity | Senior Machine Learning Engineer, On-Device & Mobile AI Optimization | Enterprise | 8 | Model serving · Inference infra · Fine-tuning · Vision · Multimodal |
| Unity | Principal Machine Learning Engineer, Mobile AI Inference Optimization | Enterprise | 8 | Model serving · Inference infra · Multimodal |
| Samsara | Senior Machine Learning Engineer - Edge AI | Enterprise | 8 | Multimodal · Inference infra · Model serving · Distillation |
| Adobe | Research Engineer | Enterprise | 7 | Model serving · Inference infra · Fine-tuning · Multimodal |
Compressing model weights to lower numerical precision (INT8, FP4, INT4) so inference costs less memory and runs faster, with minimal quality loss.
Primary AI lifecycle stage: serving infrastructure.
As of today, 69 active AI roles across 25 companies in our index reference Quantization. Hiring concentrates at the serving infrastructure (84%) and post-training (12%) stages. Most common sectors: Semiconductors, Big Tech, Robotics.