Applied Scientist

Key Skills

Apache Hadoop, C++, Java Programming, Machine learning techniques, Python Programming, R Programming, SPARK Programming

Job Description

Are you a PhD student interested in a 2023 Graduate Research Internship in the fields of Speech, Robotics, Computer Vision, Machine Learning /Deep Learning, Operations, and/or Data Science?

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 a Graduate Research 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 are open to hiring candidates to work out of one of the following locations:

East Palo Alto, CA, USA

BASIC QUALIFICATIONS

Enrolled in a Ph.D. degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics or related fields

• Theory and practice of designing experiments and statistical analysis of results

• Experience in understanding and ability to implement algorithms in computer vision using both toolkits and self-developed code

• Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language

• Ability to relate to and solve business problems through machine learning, data mining and statistical algorithms

PREFERRED QUALIFICATIONS

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

• Energy and willingness to formulate, test, and discard or revise many hypotheses to help Amazon improve its product catalog

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.