Are you a MS or PhD student? we’re looking for Applied Science Interns to join our research teams. You will work on hard science problems in the largest product search engine in the world and have access to massive datasets to build large-scale ML solutions.
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.

Machine Learning Science:
Amazon has multiple positions available for Applied Scientists in Berlin, and Barcelona.

Speech and Language Technology:
We are hiring in all areas of spoken language understanding: ASR, NLP, NLU, text-to-speech (TTS), and Dialog Management. Amazon has multiple positions available for Speech Scientists in Aachen, Barcelona, Berlin, Cambridge, Edinburgh, Gdansk, Haifa, Tel Aviv and Turin.

A few of the teams that are hiring currently include:
- Alexa ML
- Alexa Brain
- Alexa Shopping
- Amazon Search
- CS Technology



BASIC QUALIFICATIONS

· Enrolled in a Master’s or Ph.D. degree in engineering, computer science, machine learning, operations research, statistics, or related fields.
· Experience in designing experiments and statistical analysis of results.
· Experience in understanding and ability to implement algorithms using both toolkits and self developed code.
· Experience with R, Python or other programming language.
· Publications at top-tier peer-reviewed conferences or journals.


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.
Want to know more about our opportunities? Visit our Student Events page to register for one of our upcoming virtual events: https://amazonstudentevents.splashthat.com/careers

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.

EU Student Programs Team

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


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