Applied Scientist - Intern Job in Amazon

DESCRIPTION

Excited by Big Data, Machine Learning and Predictive Software? Interested in creating new state-of-the-art solutions using Machine Learning and Data Mining techniques on Terabytes of Data?

At Amazon Bangalore, we are developing state-of-the-art large-scale Machine Learning Services and Applications on the Cloud involving Terabytes of data. We work on applying predictive technology to a wide spectrum of problems in areas such as Amazon Retail, Seller Services, Customer Service, Alexa, Chatbots and so on. We are looking for talented and experienced Machine Learning Scientists (Ph.D. in a related area preferred) who can apply innovative Machine Learning techniques to real-world e-Commerce problems. You will get to work in a team dedicated to advancing Machine Learning technology at Amazon and converting it to business-impacting solutions.

Major responsibilities
Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems
Analyze and extract relevant information from large amounts of Amazons historical business data to help automate and optimize key processes
Design, develop and evaluate highly innovative models for predictive learning
Establish scalable, efficient, automated processes for large scale data analyses model development, model validation and model implementation
Research and implement novel machine learning and statistical approaches

BASIC QUALIFICATIONS

Basic Qualifications
A Masters and/or PhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field.
Experience in predictive modelling and analysis, predictive software development.
Strong problem-solving ability
Good skills with Java/Scala or C++, Perl/Python (or similar scripting language)
Experience in using R, Matlab, or any other statistical software
Strong communication and data presentation skills

PREFERRED QUALIFICATIONS

Preferred Qualifications
Experience handling gigabyte and terabyte size datasets
Experience working with distributed systems and grid computing
Knowledge of the latest and state of the art ML technology.
Publications or presentation in recognized Machine Learning and Data Mining journals/conferences