Applied Scientist, Prime Air
Amazon
Graz , AT
vor 5 Tg.

DESCRIPTION

We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world challenges, and provide visible benefit to end-users, this is your opportunity.

Come work on the Amazon Prime Air Team!

We're looking for an outstanding applied scientist who combines superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively.

We’re looking for someone who innovates and loves solving hard problems. You will work hard, have fun, and of course, make history!

The monthly gross salary according to the CBA is at least EUR 4.006. There is a willingness to make an overpayment, depending on qualification and professional experience.

Export Control License : This position may require a deemed export control license for compliance with applicable laws and regulations.

Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.

BASIC QUALIFICATIONS

  • Graduate from an accredited college or university
  • PhD in Computer Vision, Machine Learning or related field
  • Experience with Deep Learning
  • Proficient in C++ and Python coding skills
  • PREFERRED QUALIFICATIONS

  • Experience building complex software / hardware mission-critical systems that have been successfully delivered to customers at scale
  • Knowledge of engineering practices and patterns for the full software / hardware / networks development life cycle, including coding standards, code reviews, source control management, build processes, testing and livesite operations
  • Strong verbal and written communication skills
  • Excellent problem-solving ability
  • Experience communicating with various teams to collect requirements, describe product features and technical designs
  • Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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