Applied Scientist Intern
DESCRIPTION
Job summary
Are you a MS or PhD student interested in a 2022 Applied Science Internship in the field of Computer Vision, or Machine Learning/Deep Learning?
Do you enjoy diving deep into hard technical problems and coming up with solutions that enable successful products that improve the lives of people in a meaningful way?
If this describes you, come join our research teams at Amazon. As an Applied Science Intern, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.
We are looking for smart scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
We have positions on the following teams:
Team Name: Recruiting Engine Exploration
Domain / Research Focus: Machine Learning, AIR
Team Description: The Recruiting Engine Exploration teams are a mix of engineers, managers, and scientists who help candidates on their journey to finding the best role for them at Amazon. We are deeply passionate about building tools using the latest technology and share a common interest in scientific methods founded on explainability and algorithmic fairness.
BASIC QUALIFICATIONS
· Experience programming in Java, C++, Python or related language
· Experience of building machine learning models for business application
· PhD or equivalent Master's Degree plus experience in CS, CE, ML or related field
PREFERRED QUALIFICATIONS
· Enrolled in Ph.D. degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields.
· Familiar with the core undergraduate curriculum of computer science.
· Technical fluency; comfort understanding and discussing architectural concepts and algorithms,
· Schedule tradeoffs and new opportunities with technical team members.
· Publications at top-tier peer-reviewed conferences or journals.
· Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.
Equal Opportunities:
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. We value your passion to discover, invent, simplify and build.
Applicants who apply for this job will allow Amazon to process your application in a centralized hiring system that considers you for other similar openings as well
EU Student Programs Team
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. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.