About the job
Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more.
Responsibilities
Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
Design, development and evaluation of highly innovative ML models for solving complex business problems.
Research and apply the latest ML techniques and best practices from both academia and industry.
Think about customers and how to improve the customer delivery experience.
Use and analytical techniques to create scalable solutions for business problems.
Qualifications
Minimum
Are enrolled in a PhD
Can relocate to where the internship is based
Experience programming in Java, C++, Python or related language
Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling
Must be available for full-time (40 hours per week) internship for the whole duration of the internship
Preferred
We are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling