Replicate careers

Machine learning can now do some extraordinary things, but it’s still hard to use. You spend all day battling with messy Python scripts, broken Colab notebooks, perplexing CUDA errors, misshapen tensors. It’s a mess.

The reason machine learning is so hard to use is not because it’s inherently hard. We just don’t have good tools and abstractions yet.

We’re making machine learning accessible to all software engineers. You should be able to import an audio transcriber the same way you an import an npm package. You should be able to fine-tune GPT as easily as you can fork something on GitHub.