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 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).
- 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 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.
Job descriptions: https://ui.adsabs.harvard.edu/about/careers/
Typical entry salary range of 77-115K with annual revisions + generous benefits (as employees of the Smithsonian Institution) + flexible schedule/environment + friendly working culture with nice work-life balance + great learning opportunities (thanks to our affiliation to Harvard).
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/
Contact us after applying, or before if you have any question: adshelp@cfa.harvard.edu
We encourage applications from minorities, women, protected veterans, individuals with disabilities, and all other qualified applicants!