Python Job: Knowledge Graph Engineer

We are on a mission to make science open so everyone can live healthy lives on a healthy planet

Who we are

Frontiers is the 3rd most-cited and 6th largest research publisher and we publish groundbreaking discoveries by the world's top experts.

Scientists empower society and our mission is to accelerate scientific discovery by making science open. We place the researcher at the center of everything we do and enable the research community to develop the solutions we need to live healthy lives on a healthy planet.

Join the publishing revolution.

About the Role

We are looking for a Knowledge Graph Engineer who can work on production-ready Artificial Intelligence (AI) to support our industry-leading AI publishing platform.

Are you motivated by finding yourself surrounded by some of the industry's brightest minds working collaboratively on cutting edge data-driven products using the latest and greatest Machine Learning (ML) models and innovative algorithms? Are you thrilled by the prospect of seeing the output of your work utilized in a publishing platform that attracts 2 billion viewers and manages over 200k articles? Are you excited to research, design and develop innovative artificial intelligence products and their supporting pipelines? If that sounds great, then that's us: we are a cutting-edge product team working collaboratively as part of a larger AI department, supporting Frontier's industry leading AI products' portfolio.

To empower scientists and radically improve how science is published, assessed, and disseminated to researchers, innovators and the public, we have built our own state-of-the-art AI Review Assistant (AIRA), as part of our AI products' portfolio. AIRA is backed by cutting-edge ML algorithms (covering areas such as computer vision, NLP, recommender systems); and featured in the media:
https://www.nytimes.com/2020/11/23/science/conflict-of-interest-ai.html
https://spectrum.ieee.org/peer-review-of-scholarly-research-gets-an-ai-boost
https://www.nature.com/articles/d41586-021-03807-6

Requirements

• Solid understanding of Semantic Web Technologies, such as RDF, SPARQL, SHACL, OWL and related tools, such as Graph DB, Neo4J, Protege, triplestore, Stardog and others;
• Experience in community detection algorithms such as Louvain or Leiden, feature embedding in large graphs and link prediction, and knowledge of SKOS, DublinCore, and Linked Data applications;
• Good understanding of Graph theory;
• 5yrs+ experience in creating and maintaining knowledge graph data structures and in graph (data) analytics and inferencing;
• Experience using graphs in decision making;
• Knowledge of graph machine learning algorithms;
• Ability and experience in data integration;
• Experience in manipulating unstructured, semi structured and fully structured datasets;
• Willingness to share and adopt best work practices on a common codebase (Python packaging, version control, pull requests, testing, continuous integration);
• Familiarity with problem specification formulation and translation to functional/non-functional requirements ;
• Great communication, teamwork ethos, problem-solving skills and organizational skills.

Benefits

With more than 50 nationalities represented in our global team, you will work regularly with teammates in other countries, and with our community of researchers, editors, and authors from around the globe.
Our mission to create solutions for healthy lives also extends to the working environment we provide for our employees.

This includes:
100% remote working
Employees now have the flexibility to choose where they want to work, with remote working available on a part- or full-time basis (not applicable to some Workplace/IT jobs due to nature of role requiring presence onsite, in the office).

Learning and development
All employees have access to LinkedIn Learning (and Pluralsight for our technology team), an annual personal learning budget, and dedicated L&D time.

Wellbeing
We offer free online yoga classes, an employee assistance plan, access to the Headspace app, and four wellbeing days on top of your annual leave allowance.

Volunteering opportunities
Employees can dedicate three days each year to volunteer for a personal cause or through our volunteering partner platform, Alaya.

Frontiers actively embraces diversity and is a safe and welcoming workplace. Recruitment is free from discrimination - including based on race, national or ethnic origin, age, religion, disability, sex, gender identity or sexual orientation. With over 600 employees from more than 50 different nations, our diversity creates vibrant teams and constantly challenges us to appreciate multiple perspectives.

Job Type: Full-time