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Contribute to novel research by designing and building massive scale deep learning systems focusing on modularity, composability, verifiability, and continual learning. Responsibilities include pursuing novel research, partnering with researchers and production engineers to design and run novel experiments, and owning and maintaining experimental frameworks and test benchmarks for ML research in uniquely high-scale and decentralised settings. You will follow best practices - building in the open with a keen focus on designing, testing, and documenting your code.

As part of the Spaces team, you will help us scale Upbound to reliably support thousands of control planes, while also extending enterprise control plane management and operations both in the cloud and on premises. You will actively build and operate Upbound Spaces in production, troubleshooting and resolving issues across multi-tenant SaaS environments, as well as contributing to Upbound's open-source projects, including Crossplane.

This role will serve as a vital technical advisor during the sales process and lead teams responsible for delivering our best-in-class fund administration services. You will be responsible for overseeing service deliverables and partnering with Account Executives to expand our customer network. Your contributions will be key to aligning client needs with our comprehensive solutions.