Krydus

At Krydus we are developing tools to accelerate and automate the boring parts of a ML Engineers job, going from raw unstructured data to a well balanced dataset. The team keeps things simple and functional. We take pride in combining professionalism, trust, and very few meetings. We are remote first and operate with async communications whenever possible. Currently we have employees in all US time zones including Hawaii, and work hours are very flexible. We work with cutting-edge technology, our stack includes Python, PyTorch, PyTorch Lightning, Poetry, Conda for ML; Docker, Kubernetes, Kubeflow for infrastructure; Rust, Julia, C, CUDA for any custom HPC code as appropriate for the problem; The team prefers Linux for dev environments, often PopOS; Go for other backend services. A degree is not required if you know the job, have relevant experience, or even open source projects.