2020 Machine Learning Internship – Conversational AI

Job description

DESCRIPTION

Do you want to join an innovative team of scientists and work on some of the most interesting problems in Machine Learning, Natural Language Processing and Conversational Agents to provide the best customer experience on Earth? Do you want to build a foundation for your career after your Master's or Ph.D program at an industry-leading company? We're looking for machine learning scientist intern to develop cutting edge machine learning and NLP solutions that help customer resolve their problems in the quickest and most convenient way. If you want to be part of a smart and passionate team of scientists and engineers, work on leveraging and advancing the state-of-the-art in ML, NLP and Conversational Agents, if you love to innovate and to discover knowledge from big structured and unstructured (text and voice based) datasets, then we want you to be in our team. We love data, and we have lots of it.

In this role you will:
· Research and advance the state of the art in goal-oriented dialog systems; -
· Work in a team with other scientists and developers to design and implement automated, scalable NLP/ML models to develop innovative conversational interfaces that make it easier for customers to resolve their problems.

PREFERRED QUALIFICATIONS

· Publications in top-tier NLP and ML conferences and journals
· Deep knowledge of one or more major deep learning framework
· Research experience in Deep Learning, Reinforcement Learning and Dialog Systems
We offer flexible start dates throughout the whole year. Please note that we expect to experience a high volume of applications and we will fill positions as they become available, so we encourage you to apply early. Please include your academic transcript in your CV.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills.

Desired profile

BASIC QUALIFICATIONS

· Enrolled in a Ph.D. program in NLP, ML, dialog systems, or another highly quantitative field
· Strong working knowledge of programming languages such as Python and deep learning frameworks
· Strong communication skills