Lead
6 postsMarked remote 0
Not marked remote 6
Posts dated October 2024 to October 2026
PyTorch posts not marked remote
18 job posts mention PyTorch and are not marked remote.
Check each post for location requirements. “Not marked remote” does not confirm onsite work. Different employers and roles can affect the comparison; it does not show a remote-work pay premium.
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Original pay evidence
Advertised offer bands
Each panel has a separate scale in the source currency. A band shows its stated lower and upper amounts; a marker shows a minimum with no upper amount. Pay period is not preserved in the listing record. These are historical advertisements, not confirmed current vacancies.
How to read these comparisons
PyTorch combines tensor computation, autograd, and neural-network modules
PyTorch tensors represent model inputs, outputs, and parameters, with support for accelerator devices and automatic differentiation. `torch.nn.Module` represents stateful computation and integrates with autograd so optimizers can update learnable parameters. Those are framework concepts, not evidence of a particular model domain.
PyTorch posts may ask for research engineering, model training, production inference, or data work. Compare Python and deployment tags with role text. PyTorch and TensorFlow are distinct frameworks; a co-mention may describe comparative or migration work, not two separate roles or a salary difference.
- Does the post emphasize model research, training systems, or inference in production?
- Which hardware, data, and deployment tools appear with PyTorch?
Starting-salary history
Advertised minimums over time
Each dot is one post’s approximate USD estimate of its advertised minimum, linked to the source post. The chart shows up to the 120 newest comparable estimates, from Oct 2024 to Oct 2026; older months remain in the table, so a missing dot does not mean there were no posts. Monthly summaries appear only with at least 30 comparable estimates. Values are approximate annualized USD estimates of advertised minimums, not full offer ranges or employee pay. They use a common comparison basis, not historical exchange rates or inflation. The mix of companies, recorded role levels, and currencies can change month to month.
Full source listing