End-to-End Data Pipelines & Quality Engineer

Kindredventures is building a Large Physics foundation Model and seeks a Data Engineer to own data end-to-end, from source discovery to ingestion pipelines ensuring training-ready quality. You will build petabyte-scale pipelines, implement QA checks, and collaborate with researchers to translate datasets into model performance improvements. This role demands problem-solving, fast execution, and adaptability in a dynamic research environment located in San Francisco, CA.