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Job Field: Office Jobs
Location: SEATTLE, WA
Salary: $-
Job Type: Part Time

JOB SUMMARY:

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               <td align="left"><font style="font-size: 100%;">Sr. Research Scientist - Digital and Mobile Products<BR><BR><BR><BR>Job ID: 192705<BR>Location: US-WA-Seattle<BR><BR>Posted Date: 10/2/2012<BR>Company: Amazon Corporate LLC<BR><BR>Position Category: Research Science <BR>Apply for This Position<BR><BR>* Apply for this position online<BR>* E-mail this position to a friend<BR>Position Details<BR>Job Description<BR>Amazon Kindle and Kindle Fire is a revolutionary reading device, the #1 best-selling product on all of Amazon, and one of the most innovative and fast growing businesses at Amazon. Amazon has also developed significant digital and mobile businesses include Amazon MP3, Amazon Instant Video, IMDb, Amazon Mobile store, and Audible. Many of these applications running on a range of mobile platforms present unique long-term opportunities for R&D in the fields of computer vision, image processing, and machine learning.<BR><BR>We are looking for passionate, hard-working, talented, and experienced Research Scientists who have outstanding research background in the computer vision and image processing areas, and have strong passion for building innovative applications that customers love. You will have an enormous opportunity to conduct applied research on futuristic technologies, whilst making direct impact to cutting edge products used every day, by people you know.<BR><BR>The Role:<BR>- Conduct applied research to investigate and nurture innovative and practical algorithms solving real-world problems<BR>- Develop and own strategic plans for next-gen technologies and products<BR>- Develop and optimize high-accuracy real-time computer vision solutions for digital and mobile platforms<BR>- Provide technical guidance and mentorship to team members<BR>- Create intellectual properties (patents) and publish technical papers<BR>- Interact with academic and industrial research communities for synchronizing with the trends and disseminating innovative ideas<BR>- Will work in an Agile/Scrum environment to deliver high quality software.<BR>- Technical evaluations of third party products<BR>Basic Qualifications<BR><BR>* Doctoral Degree in Computer Science, Electrical Engineering or related fields with at least 3 years? experience or Master?s Degree with at least 6 years? experience<BR>* Deep theoretical knowledge and hands-on experiences in computer vision, image processing, and machine learning<BR>* Solid research track record with peer-reviewed publications in top academic conferences and journals in the related areas<BR>* Experience in developing novel and practical solutions with limited resources/power to real-world problems<BR>* Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.<BR>* Proficiency in, at least, one modern programming language such as C, C++, Java, or Python.<BR>* Excellence in technical communication with peers and non-technical cohorts.<BR>Preferred Qualifications<BR><BR>* Experience in building complex software systems that have been successfully delivered to customers.<BR>* Development experience on multiple Linux platforms and                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              </font></td>
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