Machine Learning Scientist

Elsevier

Amsterdam, The Netherlands

Posted on: 2nd July 2018

The most advanced thinking and scientific research deserves the most advanced technology to make it organized and accessible. As a part of our emerging tech hub in Amsterdam, you will connect front-end interfaces with back-end modelling technology, using state-of-the-art tooling to capture content, translate human annotations and support the implementation of industry-scale, high-quality production systems.

This is thought-provoking work. As we offer services that are increasingly reliant on Smart Content, you will use Deep-Learning algorithms and solutions to automate processes, analyse human inputs and structure meta-data.

What does that mean in reality? It means your machine learning skills will help to make some of the most significant scientific research on the planet easier to track, search, cross-reference and validate.

You’ll be every researcher’s best friend.

Stack Overview

This is a fantastic opportunity for you to work with some of the most cutting edge technologies on the planet. In this role, you’ll use:

  • Curly brace languages/Python
  • Machine Learning (kNN, SVM)
  • Data mining
  • NLP and content modelling
  • Automation

More about the role

In this role, we’re looking for an advanced, innovative thinker who can bring significant experience and ambition. That’s you, right?  You’ll support in defining the way we capture structured human inputs and extracting data, drive improvements in data annotation and automate our process structures. Capable of acting as the liaison between tech specialists and subject matter experts, you will be able to work with structured and unstructured data, applying best practice principles and translating information needs into killer software development solutions.

Oh, and you’ve got a positive, constructive approach with an emphasis on collaboration and flexibility, right? We need someone with confidence, but who can admit when someone else has a better idea too and to work as a team to create awesome algorithms that enable the impossible.

More about you

You must be a university graduate – PhD level – in Computer Science, Computational Linguistics or an associated area. Experience of Machine Learning in annotation environments is essential, with experience of entity extraction, information clustering and data mining. You will actively contribute to a culture of product and process innovation, with the skills to write design specifications, tests, documentation and code reviews. The ability to drive new developments, implement process change and embrace disruptive technology is vital.

More about Elsevier

At Elsevier, pride, passion and the pursuit of knowledge meet innovation, opportunity and growth. We are an organization that runs on intelligence. We supply it, develop it, and rely on it – and it requires intelligent people to make the intelligent career choice that will see us improve further. If you join us in Amsterdam, you will be part of shaping science’s next steps.

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