Data & AI Jobs at SF Tensor

SF Tensor provides an optimized, cross-vendor training stack for enterprise post-training and frontier pre-training. The company helps model builders train models by compiling kernels, finding capable hardware across providers, and operating training runs from 1 GPU to 10,000 GPUs. For enterprises, it enables continuous post-training on proprietary domain data without handing over the data or assembling an ML infrastructure team, with deployment options in the enterprise's cloud or SF Tensor's cloud. For AI labs, it supports frontier-scale pre-training of novel architectures with cross-vendor portability.

SF Tensor is also hiring in engineering (6).

Its roles are in San Francisco, CA, US (6).

The data is messy and there is not much of it yet. You build the pipeline, train the model, then explain the result to a founder in plain words. Large employers give you a clean warehouse and one narrow question, while here you pick the question too.