NASA ADS

The NASA Astrophysics Data System (the world-leading scientific literature search engine in Astronomy & Astrophysics, fully open source and free) is seeking three talented engineers (a DevOps and two Back-end engineer) to maintain and improve the search engine, data pipelines, and APIs, as well as the ADS natural language processing/deep learning efforts (transformers, BERT, GPT). - One Search/Back-end Engineer, who will work on improving our custom Apache Solr search engine developed in Java (document scoring/ranking, second order operators, query parsing) and our Python back-office data pipelines. - One Python/Back-end Engineer, who will work on improving our public APIs and our back-office data pipelines (data ingestion and enrichment, semantic embeddings, knowledge graphs). - One DevOps Engineer, who will manage and improve our infrastructure (automating tasks, implementing CD/CI pipelines, designing future architectures), which consists on-premise Linux servers and a Kubernetes cluster in the cloud (AWS). Job descriptions: https://ui.adsabs.harvard.edu/about/careers/ Your contribution will be open source and it will have a world-wide impact in the scientific community! NASA ADS: https://ui.adsabs.harvard.edu/