Working very closely with our deep learning engineers and data scientists to design, maintain, and extend our system for running deep learning experiments. This includes packages, tools and services written in Python.
Owning the infrastructure that the experimentation framework is running on. This means dealing with databases, virtual machines, cloud compute resources and scheduling systems.
Proactively identifying improvements to make our infrastructure more robust, efficient and user-friendly.
Developing tools to provide better insights and control over machine learning & deep learning experiments. This includes our custom-built experiment control and visualization website.
Leveraging our CI/CD system or other forms of automation to minimize repetitive tasks for the team.
You will be taking full ownership over parts of our codebase and infrastructure. At Audatic, you are en...
Ready to Apply?
Join thousands of Americans building their careers