DESCRIPTION
Amazon is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading machine learning tools on AWS. As a scientist in the AWS-ML team, you'll partner with technology and business teams to build new services that surprise and delight our customers. You will be working with terabytes of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. As a senior applied scientist, you will have the chance to work with a large team of young scientists and engineers, as well as collaborate with principal scientists.
Research science at Amazon is a fast growing activity. Besides theoretical analysis and innovation, our scientists also work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.
We're looking for top scientists capable of using ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
BASIC QUALIFICATIONS
• PhD degree in computer science, operations research, statistics, engineering, or mathematics
• 3+ years of experience in the field with a proven track record
• Experience with fast prototyping
• Experience with object oriented languages and efficient low level coding
• Experience with data mining or machine learning applications
• Strong publication record at top conferences and journals
PREFERRED QUALIFICATIONS
• Experience working effectively with software engineering teams
• Excellent written and verbal communication skills.
• Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
Mid Level Employment Type: OTHER