Fall 2019 / Winter 2020 Applied Science Machine Learning / Deep Learning Intern - Amazon

1 poste
Réf. 9738630 - Publié le 26 juin 2019
États-Unis, Seattle
Domaine de formation

Informatique, télécom (Bases de données, Développement, Génie logiciel, Intelligence artificielle) - Sciences, technologies (Mathématiques, statistiques)


Are you a MS or PhD student interested in a 2019 Graduate Research Internship in the fields of Speech, Robotics, Computer Vision, Machine Learning / Deep Learning 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.

Our research teams are using expertise across various science-focused disciplines such as robotics, computer vision, image recognition, object detection ASR, NLP/ NLU, machine learning, real-time and distributed and recommender systems, forecasting and optimization to convert requirements into concrete deliverables.

Amazon has multiple positions available for Graduate Research Interns in the following locations: Seattle, Palo Alto, San Francisco, Boston, New York, Pittsburgh, and Cupertino for research experts that will be graduating after September 2019. Our research areas include:

· Machine Learning / Deep Learning /AI
· Computer Vision
· Data Science/ Statistics
· Robotics/ DEX
· Speech (NLP: ASR, MT, NLP, NLU, TTS, DM, and ASP)

Internships last 12-20 weeks and start year round. In order to be considered for an internship you must be enrolled at a university and plan to return for additional school terms prior to graduating. Otherwise, please check out our full time openings if you are graduating within the next year.

*Note: Please be sure to discuss this opportunity with your graduate advisor before applying to ensure they will approve a full-time internship during a portion of the academic year.


Qualifications minimales :
· Enrolled in 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

Qualifications appréciées :
· 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

Niveau(x) d'études

Bac +5 et plus


6 mois


Minimum 2 000 €/mois

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