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tech Oct 25, 2017

INTERNSHIP | Natural Language Processing Researcher


We are seeking a Natural Language Processing (NLP) and Knowledge Graph Inference research intern in our New York office. You will be working on a research project related to the core problems we work on at BenevolentAI - scientific discovery (specifically, drug discovery) from structured and unstructured data sources. You will be able to publish the results of your summer project at the end of the internship.


BenevolentAI is the global leader in the development and application of AI for scientific innovation and one of the world’s top five private AI companies. It is transforming the process of scientific discovery by enabling previously unimaginable scientific advances in the accelerated development of new medicines.

Job Overview

If you would like to join our NYC research team for summer 2018 to have direct impact in the goals of our company by advancing drug discovery, we would love to hear from you. We offer a great opportunity to do what you like, while doing something that will improve and save millions of people’s lives.

Key responsibilities

The Machine Learning Research Intern will integrate into our cross functional working environment and contribute to this high performing team who seek to apply their knowledge in the high impact field of improving human’s capability in drug discovery.

We are looking for sound knowledge of natural language processing, machine learning, deep learning, probabilistic modelling and statistical inference. This individual will adopt an innovative approach and be able to bring their ideas and provide interesting solutions in our understanding of complex graph data. You will have the right mixture of inquisitiveness and rigour to follow through with the agreed tasks.

Requirements & Qualifications

The ideal candidate will be:


Location: New York City

Duration: 3 months with possible extension


Salary & Benefits 

The company offers competitive salaries 


Apply now! Deadline : 15 Dec 2017

If you’d like to join us, please email your CV and a covering letter to our team at