Чем предстоит заниматься
You will work on the Model Factory, building the data and analytics systems underneath it such as our agent trajectory store, experiment configuration registry, experiment metrics, and others
In this role, you will engage directly with researchers to understand their experiments and workflows so you can improve our data and analytics. Since training efficiency is a function of how quickly we learn and draw insights from each run, your work will directly accelerate Poolside's ability to develop models. The work on this team will be a mix of greenfield projects as well as extending existing systems to support larger scale, higher reliability, and more demanding performance requirements
If you are excited to own foundational systems, build at scale, and work alongside researchers to push the frontier of model capabilities, this is the role for you
YOUR MISSION
To deliver reliable, performant, and intuitive data and analytics tools and platforms to accelerate model research
Design, build, and operate the data and analytics systems of our Model Factory
Own the entire data lifecycle of experiment data including modelling, ingestion, retrieval, query, analysis, and retention
Partner closely with researchers to understand their workflows and ensure we're guided by their data and analytics needs