NASA ADS | Non-Profit | One DevOps Engineer + One Python/Back-End Engineer + One Search/Back-End Engineer | Cambridge, MA (US) | Hybrid schedule (40% WFH/60% ONSITE) | Full-time | H1B VISA Sponsorship (no lottery)
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.
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 | Non-Profit | One DevOps Engineer + One Python/Back-End Engineer + One Search/Back-End Engineer | Cambridge, MA (US) | Hybrid schedule (40% WFH/60% ONSITE) | Full-time | H1B VISA Sponsorship (no lottery)
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.
Typical entry salary range of 75-115K 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 | Back-End Developer | REMOTE from US or Cambridge, MA (US) | Full-time | VISA Sponsorship Available
The NASA Astrophysics Data System (the world-leading scientific literature search engine in Astronomy & Astrophysics) is seeking two talented back-end developers to work on our back-office data pipelines (this requires Python knowledge) and/or to improve our custom Apache Solr search engine (this requires Java & search knowledge).
I am interested, I have 10 years of experience as a back-end developer, but I haven't worked professionally with Python but with C++/Go/Node/Rust. Is it a dealbreaker?
NASA ADS | Back-End Developer | Cambridge, MA (US) or REMOTE from US | Full-time | VISA Sponsorship Available
The NASA Astrophysics Data System (the world-leading scientific literature search engine in Astronomy & Astrophysics) is seeking two talented back-end developers to work on our back-office data pipelines (this requires Python knowledge) and/or to improve our custom Apache Solr search engine (this requires Java & search knowledge).
NASA ADS | One DevOps Engineer & One Search/Back-End Engineer | Cambridge, MA (US) or Remote from US | Full-time | VISA Sponsorship Available
The NASA Astrophysics Data System (the world-leading scientific literature search engine in Astronomy & Astrophysics) is seeking two talented engineers (a DevOps and a Search/Back-end engineer) to maintain and improve the data pipelines, as well as to support the search engine and the ADS natural language processing/machine learning efforts.
- The DevOps Engineer will manage our infrastructure, which consists on-premise Linux servers and a Kubernetes cluster in the cloud (AWS).
- The Search/Back-end Engineer will work on improving our custom Apache Solr search engine (requires Java & search knowledge) and our back-office data pipelines (requires Python knowledge).
Apply through the USAjobs links provided in https://ui.adsabs.harvard.edu/about/careers/. In USAjobs, select Cambridge as location (even if you wish to be considered as a full remote employee from the US), and not all documents listed in USAjobs are required (e.g., School Transcript only necessary if you are using education to qualify for the position instead of experience), send us an email if you have questions or difficulties: adshelp@cfa.harvard.edu
Your contribution will be open source and it will have a world-wide impact in the astronomy community!
NASA ADS | Machine Learning Engineer | Cambridge, MA (US) | Remote from US (~1yr) + Onsite | Full-time | VISA Sponsorship Available
The NASA/Astrophysics Data System is seeking a talented Machine Learning Engineer. Your work designing and training machine / deep learning models, together with Natural Language Processing (NLP) techniques, will empower astrophysicists around the world to solve the mysteries of the universe.
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!