Data & Analytics Engineer

About Poolside In this decade, the world will create Artificial General Intelligence... Poolside exists to be this company — to build a world where AI will be the engine behind economically valuable work and scientific progress. ABOUT OUR TEAM We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday... Our team is a multidisciplinary blend of research, engineering, and business experts. ABOUT THE ROLE 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... 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. Your mission To deliver reliable, performant, and intuitive data and analytics tools and platforms to accelerate model research. RESPONSIBILITIES - 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 SKILLS & EXPERIENCE - Strong programming skills in Go, Python, or other similar languages - Proven experience building and operating distributed systems at scale, with a strong understanding of consistency models, queue/stream processing and data pipelines - Production experience with Kubernetes, cloud infrastructure, observability systems - Ability to lead ambiguous and cross-functional initiatives, building alignment and driving progress - Nice to haves: experience working OLAP databases, timeseries databases, high cardinality datasets, understanding of ML research workflows PROCESS - Intro call with a member of the team - Technical interview(s) with one of our Members of Engineering - Team fit call the People Team - Final interview with one of our Founding Engineers BENEFITS - Fully remote work & flexible hours - 37 days/year of vacation & holidays - Health insurance allowance for you & dependents - 16 weeks of flexible, full-pay parental leave - Well-being, always-be-learning & home office allowances - Company-provided equipment - Frequent team get togethers - Diverse & inclusive people-first culture