DESCRIPTION

Amazon is looking for talented Postdoctoral Scientists to join our global Science teams for a one-year, full-time research position. Postdoctoral Scientists will innovate as members of Amazon’s key global Science teams, including: AWS, Alexa AI, Alexa Shopping, Amazon Style, CoreAI, Last Mile, and Supply Chain Optimization Technologies. Postdoctoral Scientists will join one of may central, global science teams focused on solving research-intense business problems by leveraging Machine Learning, Econometrics, Statistics, and Data Science. Postdoctoral Scientists will work at the intersection of ML and systems to solve practical data driven optimization problems at Amazon scale. Postdocs will raise the scientific bar across Amazon by diving deep into exploratory areas of research to enhance the customer experience and improve efficiencies. Please note: This posting is one of several Amazon Postdoctoral Scientist postings and specific to Germany. Please only apply to a maximum of 2 Amazon Postdoctoral Scientist postings that are relevant to your technical field and subject matter expertise. 

Key job responsibilities

• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.• Publish your innovation in top-tier academic venues and hone your presentation skills.• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

Basic Qualifications

• PhD in a relevant field, received within 2 years of starting the program• Proven publication record in Robotics, Machine Learning, Computer Vision, Computer Science, or other related technical fields• Experience in data science and quantitative research• Proficiency in technologies relevant to the subfield 

Preferred Qualifications

• Ability to independently deliver results in a fast-paced environment• Publications at top-tier, peer-reviewed conferences and/or journals• Exceptional verbal and written communication skills• Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies Required Application Materials• CV, which lists all peer-reviewed publications/conferences and previous awards/grants received,• Research statement that outlines your research achievements and future research interests, and• A journal article or book chapter that demonstrates your domain expertise