Research Internship

The Research Intern’s role is responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. This requires good engineering (for example: designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code (surprisingly difficult!), and building the science behind the algorithms employed. In all the projects this role pursues, the ultimate goal is to push the field forward.The most outstanding deep learning results are increasingly attained at massive scale, and these results require engineers who are comfortable working in a large distributed systems. We expect engineering to play a key role in most major advances in AI of the future.

You should apply if you are a computer scientist who is fairly comfortable with unsupervised learning, natural language processing and the basics of data science. Experience in security is a bonus. You are not expected to have mastery of deep learning — the problems we pursue are always at the edge of the state of the art, which means that nobody’s an expert.

Internships can last between 2-6 months and operate with a focus on developing cutting edge research publishable at a top tier academic conference (NIPS, ICLR, ICML, ACL).