Skill · AI Hiring Index · as of 2026-10-05
PyTorch in AI job postings
7% of technical postings at the AI companies we track mention PyTorch (346 postings). Research Scientist postings ask for it most: 41%.
Technical postings that mention it
7%
346 postings
Which roles ask for it
Share of each technical role family's open postings that mention PyTorch.
| Role family | Share, as a bar | Share |
|---|---|---|
| Research Scientist | 41% | |
| Research Engineer | 33% | |
| AI / ML Engineer | 27% | |
| Inference / Perf | 25% | |
| FDE / Applied | 5% | |
| Software Eng | 2% | |
| Safety / Policy | 2% | |
| Infra / Hardware | 2% | |
| Evals / Data | 2% | |
| Security | 0% |
Companies asking for it most
| Company | Postings | Of its technical postings |
|---|---|---|
| Mistral AI | 31 | 26% |
| Databricks | 23 | 4% |
| Applied Intuition | 21 | 9% |
| Thinking Machines Lab | 19 | 44% |
| Nebius | 18 | 8% |
| Anthropic | 16 | 5% |
| CoreWeave | 16 | 9% |
| Cohere | 14 | 18% |
| OpenAI | 12 | 2% |
| Cerebras | 11 | 11% |
How to learn it
- Neural Networks: Zero to Hero — Andrej Karpathy free
Backprop to a GPT in PyTorch, one video at a time — the fastest way for an engineer to read and debug model code.
- Learn the Basics — PyTorch tutorials free
Tensors, autograd, datasets and the training loop in the framework's own words; a reference you will return to.
Project: Train a small GPT and change one thing — Reproduce a small model with nanochat or nanoGPT on a modest dataset, change one design choice, and show the ablation with its loss curves.