Offers “Amazon”

Expires soon Amazon

Applied Scientist

  • Seattle (King County)
  • IT development

Job description

DESCRIPTION

Join us in a historic project to make Computer Vision and Machine Learning accessible to the World with breakthrough research! At Amazon AI we have a world-leading team of researchers, engineers, and academics, and are looking for world-class colleagues to grow and make the AI revolution happen in record time (no, we do not believe in the AI doomsday scenario).

If you are scary smart, join us in Seattle, Palo Alto, or the great City of Angels; you will be in good company. You will need to be scary smart indeed, and know a lot of Machine Learning and Computer Vision to fit. We expect that you will develop innovative solutions to hard problems, publish the results in the academic literature, and present it at conferences at workshops, and we will help you amplify the reach and impact of your work.

Amazon AI is part of AWS, the world-leading provider of cloud services - by a large margin despite our competitors' best efforts. It helps to be the best. AWS has fostered the creation and growth of countless new businesses, and is a positive force for good. We are also part of the larger Amazon family, which is engaged in a myriad of fascinating and forward-looking projects, which gives Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. There are a gazillion cross-disciplinary efforts within Amazon, so if you are curious, have initiative, and drive, the sky is the limit. We solve real problems that delight our customers, something that gives even the most theoretically-minded scientist immense gratification.

Desired profile

BASIC QUALIFICATIONS

· Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics, Statistics or Physics with strong knowledge of machine learning.
· 6+ years of related work experience for a MS.
· 2+ years of experience for a PhD.
· Strong skills in programming languages such as C/C++ and Python.

Make every future a success.
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