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Sr. Research Scientist, Computer Vision

Cambridge, MA

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) was established on December 21, 2017. It is committed to providing AI solutions for medical devices, imaging, and diagnosis – to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-part companies to win. UII America is building a world-class research and development team in Cambridge, MA. We are looking for multiple levels of Computer Vision researchers who can strengthen our R&D assets in Vision and Robotics. The successful candidate will approach technical challenges enthusiastically, exhibit a strong desire to learn and apply new technologies to accomplish exciting tasks. He will show a proven ability to work on challenging CV topics and work collaboratively with a talented R&D team.

Main Responsibilities

  1. Research and develop Computer Vision algorithms;
  2. Extend and improve company's existing CV algorithms and libraries;
  3. Work closely with colleagues and management to develop company assets in CV;
  4. Conduct cutting-edge research and transfer research results into practical product solutions;
  5. Establish strong relationship with potential customers and clinical partners;
  6. Collaborate with other team members and contribute to a nice team-working environment;
  7. Be ambitious to lead the changes in future Healthcare with innovations.

Qualification Requirements

  1. PhD Degree in Computer Vision, Computer Science, Electrical Engineering, or related field;
  2. 5+ years of experience in research and development in 2D/3D Computer Vision or Robotics;
  3. Strong knowledge in state-of-the-art computer vision and machine learning technologies;
  4. Proven experience in conducting cutting edge research with successful outcome;
  5. Proven track record of publications in top-tier conferences and journals in Computer Vision, Machine Learning, or related fields (e.g. CVPR, ICCV, ECCV, NIPS, etc.);
  6. Ability to develop practical solutions to challenging problems;
  7. Strong experience and knowledge in Deep Learning and AI-related technologies is a plus.

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