Sr. Research Scientist, AI

UII America, Inc.
Location: 
Cambridge, MA, USA
Job Type: 
Full Time
Closing Date: 
Thursday, August 1, 2019

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 AI researchers who can strengthen our R&D assets in Artificial Intelligence, especially on Medical Imaging and Healthcare data. 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 and practical problems of medical imaging or other types of Healthcare datasets together with a talented R&D team.

Main Responsibilities

1. Research and develop AI and Deep Learning algorithms;

2. Extend and improve company's existing DL algorithms and libraries;

3. Work closely with colleagues and management to develop company assets in AI and DL;

4. Conduct cutting-edge research and transfer research results into practical Healthcare 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 Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics or related field;

2. 5+ years of experience in research and development in Machine Learning and Deep Learning;

3. Strong knowledge in state-of-the-art AI and DL 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 Machine Learning, AI, Medical Imaging, or related fields (e.g. NIPS, ICML, MICCAI, etc.);

6. Ability to develop practical solutions to challenging problems;

7. Experience and knowledge in Healthcare domain is a plus.