Qualcomm FY24 Summer Intern-AI/ML Research Intern 

China, Sichuan, Chengdu City 

132794640

Job Area:

Interns Group, Interns Group > Interim Engineering Intern - SW

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.

Machine learning such as statistical learning, deep learning

Computer vision for 3D missions like BEV, Occupancy, MultiModal fusion or mapping networks.

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

Dynamic system control and reinforcement learning

Artificial intelligence and agent system

Unsupervised learning, semi-supervised learning, transfer learning, continuous learning and domain adaptation

And also you are assumed experienced with

Python and its scientific packages

C/C++ programming

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.