PamiTC Job Board - Posting Details

Title: Research Internship - Accelerated Deep Learning Frameworks (Job Number: P15INT-06)Posted: October 13, 2016
Company/Institution: Honda Research Institute
Location: Mountain View, CA

Description: Recent research on deep convolutional neural networks (DCNNs) has focused primarily on improving accuracy. However, the state-of-the-art CNN networks require tremendous training effort and are too slow for real-time computing systems. The goal of this project is to build an efficient deep learning pipeline from training to inference for object detection and semantic segmentation. We have 2 intern openings. The first intern will focus on researching new DCNN architectures for real-time systems. The second intern will investigate techniques to parallelize and accelerate the underlying computation. Qualifications: • Research experience in object detection and semantic segmentation • Solid understanding of Neural Networks and the underlying Math • Hands-on experience in designing deep convolutional neural networks using Caffe or similar libraries (Torch, Tensorflow and Theano) • Strong background in CUDA and parallel computing. Good understanding of GPU architecture is a plus • Strong programming skills in C++ and/or Python

Application Instructions: Please send an e-mail to with the following: • Subject line including the job number you are applying for • Recent CV • A cover letter indicating your desired internship period and briefly explaining how you fit to the position