NASA ADS | Non-Profit | Search/Back-End Engineer (Java & Python) | 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 one talented Search/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, LLaMA).
Particularly, the Search/Back-end Engineer 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!
Observatory of Geneva | Rust/Python Software Engineer | Geneva (Switzerland) | Hybrid Schedule | Full time (2.5 years)
The Observatory of Geneva (World renown in the field of exoplanetology, where Michel Mayor and Didier Queloz detected the first exoplanet, which got them a Nobel Prize in physics in 2019), in collaboration with the CEA (a French public government-funded research organization), will be seeking one talented junior software engineer to develop and improve two scientific codes which will predict the destiny of planetary systems (ESPEM & Posidonius, see https://github.com/marblestation/posidonius).
The successful candidate will:
- Collect the requirements (e.g., the code must run in multiple operating systems, provide pluggable solvers) that will inform future decisions about the design and implementation of a new ESPEM;
- Evaluate the use of more modern programming languages and design patterns (such as Rust and Python 3) for the new ESPEM;
- Design and implement a new version of ESPEM, reproducing the physics present in the current version of ESPEM but following the best coding practices;
- Design building blocks that will allow the implementation of new physics in a modular architecture for the new ESPEM;
- Implementation and integration of new physics in ESPEM and Posidonius;
- Write the corresponding documentation;
- Write unit tests to reach a coverage above 80% of the code;
- Identify optimizations that could help reduce the execution time, particularly certain functionalities that are more computing intense;
- Write visualization routines to easily explore the results.
Entry salary of 85,000 CHF with annual revisions + flexible schedule/environment (up to two days of allowed remote work) + friendly working culture with nice work-life balance + international travels (e.g. CEA headquarters in the Paris region, conferences).
Your contribution will be open source and it will have a world-wide impact in the exoplanet community!
Contact us with your CV and/or your questions: emeline.bolmont at unige.ch
We encourage applications from minorities, women, individuals with disabilities, and all other qualified applicants!
Observatory of Geneva | Rust/Python Software Engineer | Geneva (Switzerland) | Hybrid Schedule | Full time
The Observatory of Geneva (World renown in the field of exoplanetology, where Michel Mayor and Didier Queloz detected the first exoplanet, which got them a Nobel Prize in physics in 2019), in collaboration with the CEA (a French public government-funded research organization), will be seeking one talented junior software engineer to develop a scientific code (ESPEM) which will predict the destiny of planetary systems.
The successful candidate will:
- Collect the requirements (e.g., the code must run in multiple operating systems, provide pluggable solvers) that will inform future decisions about the design and implementation of a new ESPEM;
- Evaluate the use of more modern programming languages and design patterns (such as Rust and Python 3);
- Design and implement a new version of ESPEM, reproducing the physics present in the current version of ESPEM but following the best coding practices;
- Design building blocks that will allow the implementation of new physics in a modular architecture;
- Write the corresponding documentation;
- Write unit tests to reach a coverage above 80% of the code;
- Identify optimizations that could help reduce the execution time, particularly certain functionalities that are more computing intense;
- Write visualization routines to easily explore the results.
Entry salary of 85,000 CHF with annual revisions + flexible schedule/environment + friendly working culture with nice work-life balance + international travels (e.g. CEA headquarters in the Paris region, conferences)
Your contribution will be open source and it will have a world-wide impact in the exoplanet community!
Contact us to apply or if you have any questions: emeline.bolmont at unige.ch
We encourage applications from minorities, women, individuals with disabilities, and all other qualified applicants!
NASA ADS | Non-Profit | One Search/Back-End Engineer + One Python/Back-End Engineer + One DevOps 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 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).
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 | Non-Profit | One Python/Back-End Engineer + One Search/Back-End Engineer + One DevOps 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 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.
- 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).
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 | One DevOps Engineer + Two Back-End Engineer | Cambridge, MA (US) | Hybrid schedule | Full-time | H1B VISA Sponsorship
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, which consists on-premise Linux servers and a Kubernetes cluster in the cloud (AWS).
- One Back-end Engineer, who will work on improving our back-office data pipelines and the user-facing public APIs (requires Python knowledge)
- One Search/Back-end Engineer, who will work on improving our custom Apache Solr search engine (requires Java knowledge) and our back-office data pipelines (requires Python knowledge).
Typical entry salary range of 75-115K with annual revisions + generous benefits (as employees of the Smithsonian Institution) + flexible 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 | DevOps Engineer | 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 a talented DevOps engineer to manage our infrastructure, which consists on-premise Linux servers and a Kubernetes cluster in the cloud (AWS).
NASA ADS | DevOps 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 a talented DevOps engineer to manage our infrastructure, which consists on-premise Linux servers and a Kubernetes cluster in the cloud (AWS).
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 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).
- The DevOps Engineer will manage our infrastructure, which consists on-premise Linux servers and a Kubernetes cluster in the cloud (AWS).
NASA ADS | One Search/Back-End Engineer + One DevOps 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 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).
- The DevOps Engineer will manage our infrastructure, which consists on-premise Linux servers and a Kubernetes cluster in the cloud (AWS).
Typical entry salary range of 75-115K with annual revisions + generous benefits.
We encourage applications from minorities, women, protected veterans, individuals with disabilities, and all other qualified applicants.
Your contribution will be open source and it will have a world-wide impact in the astronomy community!
Hiring process:
1. 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), if you do not have a Social Security Number (e.g., foreign nationals) write a random number (different from 1234..), 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: [email protected]
2. For applications that fulfill the requirements, the candidate will be contacted by email to setup a 1 hour online technical interview (no preparation in advance). Short-listed candidates will go through a second and final interview, where there will be some additional technical questions/exercises and the candidate will have about 15 minutes to present some past project or technology (relevant for the position).
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).
Your contribution will be open source and it will have a world-wide impact in the astronomy community!
Hiring process:
1. 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: [email protected]
2. For applications that fulfill the requirements, the candidate will be contacted by email to setup a 1 hour online technical interview (no preparation in advance). Short-listed candidates will go through a second and final interview, where there will be some additional technical questions/exercises and the candidate will have about 15 minutes to present some past project or technology (relevant for the position).
NASA ADS | DevOps + 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 position 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).
Your contribution will be open source and it will have a world-wide impact in the astronomy community!
Do not hesitate to send us your CV at [email protected] and we will let you know when the application form in USAJobs is available for you to officially apply.
NASA ADS | Back-end Engineer & Data Scientist | Cambridge, MA (US) | Remote from US for 1 year, onsite afterwards | Full-time | VISA Sponsorship Available
The NASA/Astrophysics Data System is seeking a talented Back-end Engineer & Data Scientist to maintain and improve the data pipelines, as well as to support the search engine and the ADS natural language processing/machine learning plans. Your back-end code will empower astrophysicists around the world to solve the mysteries of the universe.
NASA ADS | Back-end Engineer & Data Scientist | Cambridge, MA (US) | Remote from US for 1 year, onsite afterwards | Full-time | VISA Sponsorship Available
The NASA/Astrophysics Data System is seeking a talented Back-end Engineer & Data Scientist to maintain and improve the data pipelines, as well as to support the search engine and the ADS natural language processing/machine learning plans. Your back-end code will empower astrophysicists around the world to solve the mysteries of the universe.
NASA ADS | Back-end Engineer & Data Scientist | Cambridge, MA (US) | Remote from US for 1 year, onsite afterwards | Full-time | VISA Sponsorship Available
The NASA/Astrophysics Data System is seeking a talented Back-end Engineer & Data Scientist to maintain and improve the data pipelines, as well as to support the search engine and the ADS natural language processing/machine learning plans. Your back-end code will empower astrophysicists around the world to solve the mysteries of the universe.
NASA ADS | Machine Learning Engineer | Cambridge, MA (US) | Remote from US for 1 year, onsite afterwards | 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.
NASA ADS | Machine Learning Engineer | Cambridge, MA (US) | Remote from US for 1 year, onsite afterwards | 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.
NASA ADS | Front-End Developer | Cambridge, MA (US) | Remote from US (~1yr) + Onsite | Full-time | VISA Sponsorship Available
The NASA/Astrophysics Data System is seeking a talented Front End Developer. Your front-end code will empower astrophysicists around the world to solve the mysteries of the universe.
NASA ADS | Front-End Developer | Cambridge, MA (US) | Onsite | Full-time | VISA Sponsorship Available
The NASA/Astrophysics Data System is seeking a talented Front End Developer. Your front-end code will empower astrophysicists around the world to solve the mysteries of the universe.
NASA ADS | Front-End Developer | Cambridge, MA (US) | Onsite | Full-time | VISA Sponsorship Available
The NASA/Astrophysics Data System is seeking a talented Front End Developer. Your front-end code 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 one talented Search/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, LLaMA).
Particularly, the Search/Back-end Engineer 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: [email protected]
We encourage applications from minorities, women, protected veterans, individuals with disabilities, and all other qualified applicants!