NevaLabs is a new team of journalists, researchers and developers working together to empower individuals who want to take personal control of their news experience. Our solutions aim to drive greater transparency, relevance and value, enabling users to proactively improve the quality of the news they need to achieve their personal goals.
We believe that access to trustworthy news and information is vital to the health of society.
We’ve only been together as a team since October but in that time we’ve started to build a culture and product we’re excited about, and attracted the attention of many respected media commentators. Check out some recent articles in Mashable, Journalism.co.uk and Reuters about our work.
Our company was founded by Mark Little and Áine Kerr who worked together in Storyful for five years before leaving to join Twitter and Facebook. Together with Paul, Eilis and Marco they hope to solve some big problems with smart solutions and an ever-expanding team in 2018.
We have been validating the need for a transparent and personalised news product using Stanford CoreNLP and other machine learning services. We’re now seeking an experienced engineer able to implement machine learning models with production data for our customers.
This role gives you a chance to be a key member of a startup team with proven experience and global ambition, help direct the future of the product, work in a cross-functional team and ultimately launch something we believe is going to be pretty impactful.
You’ll work closely with a senior data scientist to implement new and proprietary machine learning models. There will potentially be opportunity to work on blogs, research projects, and bespoke industry partnerships.
You will work be supported by a team of engineers.
Ideally, you will have experience implementing recommendation systems, search engines and machine learning systems, and will have a background in a field such as Computer Science, Artificial Intelligence, Maths, etc.
We’ve been using Python and Ruby with Redis, MongoDB, and PostgreSQL all with Stanford CoreNLP, AYLIEN, Google Cloud Natural Language and other out-of-the-box systems but are not wedded to these technologies.
Some experience of the media industry will be considered a bonus.