Join Qualcomm’s research team in San Diego and apply your creative talent in a fast-paced, intellectually challenging environment to create best-in-class solutions for computer vision, and speech processing. You can be part of a team creating industry-leading solutions embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices. As an intern, you would be working closely with our world-class team of machine learning researchers.

Your research might include development of new fundamental methods in the following areas:

· Visual understanding, including object detection and tracking, semantic segmentation, human pose estimation, action and event recognition in images, video, and/or stream of radar data

· Compressing deep neural networks to be more efficient in terms of computation, memory, and power consumption

· Compressing data from audio and visual channels using deep neural networks

· Automatic speech recognition

· Reinforcement learning for behavioral planning and resource management

Qualcomm offers flexible start dates during 2018, a very competitive salary, holiday and sick pay.

Students should be mid-study looking for work experience or a mandatory internship towards completing their degree.

Proven experience with machine learning and deep learning in computer vision, speech recognition or other relevant domains. Interest and experience in one or more of the following areas:

· Object detection and tracking, human pose estimation, action recognition in images, video, and/or stream of radar data

· Compressing deep neural networks

· Generative data compression for images, video, and audio streams

· Automatic speech recognition

· Reinforcement learning for behavioral planning and resource management Strong programming skills and working knowledge of deep learning tools such as Pytorch and Tensorflow. Publications in top tier conferences and journals is a plus, including NIPS, CVPR, ICCV, ICML, ICLR, ACL, ICRA.

PhD or very strong MS student in Artificial Intelligence, Computer Science, Electrical Engineering, or Computer Engineering. Please include graduation date and projected grades in your resume. Send resume to Stefanie Battaglia by no later than March 23, 2018: sbattaglia@eng.ucsd.edu