At Ivy, we’re on a mission to unify all Machine Learning (ML) frameworks, making ML code cleaner, more flexible, and fully reusable. All Ivy functions can be executed using TensorFlow, PyTorch, MXNet, JAX and NumPy, without any change to the code.
We've just raised a round of venture funding (YC, Abstraction, Essence, A Capital). We’re looking for talented developers to join this ambitious endeavor, just as we’re getting started. Hop on board and lets-unify.ai!
We are in talks with developers from Google, Facebook, NVIDIA, Hugging Face, and other top software companies who would like to use Ivy in their popular open-source projects, to instantly support all frameworks. A few examples are: Ray, FastAI, Transformers, PyG, Pyro, Kornia.
We are looking for developers to join our team full-time, to extend Ivy’s codebase as we expand into the PyTorch Ecosystem and beyond. The annual salary will be $45-60k depending on experience, with equity options also available. We are hiring worldwide. During the role, your tasks would include:
● Helping to manage and oversee the work of our ML research engineering interns
● Working alongside our open-source partners, helping to incorporate Ivy into their popular repositories
● Implementing SOTA models in Ivy, and adding these to our model hub
● Very strong Python skills, with deep expertise in PyTorch, TensorFlow or JAX
● Very strong skills in recursive programming. Check out the Ivy Container class
● A passion for Machine Learning research, and for our vision to unify the ML frameworks!
After clicking the apply button, please check your spam, promotion and junk folders every few days. Unfortunately some of our emails are ending up there. We are working hard to fix this asap.
In the meantime, we really look forward to hearing from you! :)