Advertisements

Machine Learning Science internship at Amazon, Seattle, Washington, 2019

Advertisements

Apply for the current Machine Learning Science internship at Amazon, Seattle, Washington, 2019, see Job description, requirement and how to Apply below:

 

Machine Learning Science internship at Amazon – job description

Job position: Scientist Summer Internship – Robotics

Advertisements

job ID: 777224

Company: Amazon.com Services, Inc.

Machine Learning Science internship at Amazon

Advertisements

 

Also Read: Senior Solutions Architect internship at Amazon, Madrid, Spain

 

BASIC QUALIFICATIONS

In the process of obtaining a Masters or Ph.D. degree (Ph.D strongly preferred) in Engineering, Computer Science, Machine Learning, Statistics or related fields
· Theory and practice of designing experiments and statistical analysis of results.
· An understanding of machine learning, algorithms and computational complexity.
· 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.
· Strong aspiration to push your ideas into production, overcoming obstacles, in order to benefit Amazon’s customers.

 

PREFERRED QUALIFICATIONS

· Familiar with the core undergraduate curriculum of Computer Science.
· Experience in building speech recognition and natural language processing systems (e.g. commercial speech products or government speech projects)
· Algorithm development experience
· 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
· Familiar with the techniques and limitations of observational studies.
· Familiar with theory and practice of information retrieval, relevance, machine learning, and data mining.
· Skilled at data visualization and presentation.
· 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.

 

How to Apply

Suitably qualified appliciants Should Click here to Apply

Leave a Reply

Your email address will not be published. Required fields are marked *

You May Also Like