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Senior or Staff Eng - AI/ML Research and Development

Qualcomm Inc.


Location:
Beijing
Date:
04/19/2018
2018-04-192018-05-19
Job Code:
1961309
Qualcomm Inc.
Apply on the Company Site
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Job Details

Job Title Senior or Staff Eng - AI/ML Research and Development
Jobid 1961309
Location: Beijing, CHN
Job Description:
**Job Id**
E1961309
Job Title
Senior or Staff Eng - AI/ML Research and Development
Post Date
04/02/2018
Company
-
Division
Qualcomm Technologies, Inc.
-
Corporate Research & Development at http://www.qualcomm.com/about/research
Job Area
Engineering - Systems
Location
China - Beijing
Job Overview
In addition to world-renowned strengths in wireless connectivity solutions, Qualcomm has invested significantly for years in research and development in advanced sensor technology, machine learning(ML) and artificial intelligence(AI) for environment sensing, perception and cognition. We believe these technologies will propel the next wave of technology development in advanced AI disruption as autonomous system, natural I/O and on-device AI.


Join the Qualcomm Research in Beijing to extend our advanced AI research to vertical segments such as smartphone context awareness, sensor/context fusion, AI agent for dynamic human/phone interactions. We are looking for smart, innovative, motivated, individuals who can enable the next generation of mobile devices and systems to see, read, feel and predict user behavior and the environment around them. People who can develop deep understanding of problems through thoughtful data driven analysis and then shepherd the solutions from the lab to real world deployment. Success requires developing an end to end view of systems across layers and across disciplines.
Minimum Qualifications
Machine learning such as statistical learning, deep learning

Automatic Speech Recognition(ASR) and Natural Language Processing/Understanding(NLP/NLU)

Dynamic system control and reinforcement learning

Artificial intelligence and agent system

And also you are assumed experienced with

Python and its scientific packages

C/C++ programming
Preferred Qualifications
Familiar with heterogeneous computing architecture, e.g. GP-GPU/Open CUDA, DSP is a good plus.
Education Requirements
Ph.D. or experienced M.S. with Strong background
EEO employer: including race, gender, gender identity, sexual orientation, disability & veterans status.


Apply on the Company Site
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