Winter Internship - Deep Learning Scientist

Job description

DESCRIPTION

We are looking for interns who can work with one of our teams onsite during the fall term. You must be available for 12-16 weeks anytime from January 1 - Summer 2019.

Are you experienced at applying deep learning model to big-data sets? Are you excited by analyzing and modeling terabytes of text, images, and other types of data to solve real-world problems? We love data and we have lots of it. We’re looking for an excited researcher capable of using deep learning and statistical techniques to create state-of-the-art solutions to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Internships last 12-20 weeks and start year round. In order to be considered for an internship you must be enrolled at a university and plan to return for additional school terms prior to graduating.

Desired profile

BASIC QUALIFICATIONS

· Current enrollment in a degree-granting college or university working towards a Master’s or Ph.D. degree in Engineering, Computer Science, Machine Learning, Math, Statistics or related field.
· Strong background in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, graphical models, feature extraction and analysis, supervised learning, in particular discriminative methods.
· Theory and practice of Design of Experiments and statistical analysis of results.
· An understanding of machine learning, algorithms and computational complexity.
· Programming skills sufficient to extract, transform, and clean large (multi-TB) data sets in a Unix/Linux environment.
· Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
· Ability to relate to and solve business problems through machine learning, data mining and statistical algorithms.
· Strong desire to push your ideas into production, overcoming obstacles, in order to benefit Amazon's customers.