UII America, Inc. is building a world-class research and development team in Cambridge, MA. We are looking for an experienced R&D researcher who can drive our research in Vision and Robotics to revolutionize future Healthcare. The successful candidate will exhibit passion for customer success, clinical excellence and will show a proven ability to work on challenging AI topics and work with a talented R&D team. This position will report to the CEO of the company. 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.

 
Main Responsibilities

1. AI experts in Computer Vision and Robotics;

2. Motivate and lead a junior scientists for cutting edge research and development;

3. Work closely with senior level management to develop company assets in AI Healthcare;

4. Conduct cutting-edge research in the field of Vision and Robotics and transfer research results into practical product solutions;

5. Establish strong relationship with potential customers and clinical partners;

6. Define technical roadmap and provide technical advices to the CEO of the company.

 
Qualification Requirements

1. PhD Degree in Electrical Engineering, Computer Science or related field;

2. 5 -10 years of senior-level experience in research and development in AI-based solutions, platforms, esp. in Computer Vision and Robotics;

3. Strong experience and knowledge in Deep Learning and AI-related technologies;

4. Proven experience in leading scientists conducting cutting edge research;

5. Proven track record of publications in top-tier conferences and journals in AI, Vision, and Robotics;