Internship: Visual Reasoning and Question Answering
MERL is looking for a self-motivated intern to work on problems at the intersection of video understanding and visual question answering. The ideal candidate would be a senior year (>=3) PhD student with a strong mathematical background in machine learning and computer vision and who has published at least one paper in a top-tier machine learning or computer vision venue (NIPS/CVPR/ECCV/ICCV/ICML/PAMI etc.). The candidate must have prior experience in using deep learning methods for video understanding (such as action recognition, human pose estimation and tracking, etc.) and language models (such as in visual question answering or captioning). Working knowledge of generative adversarial networks will be a plus. Proficiency in Python and flexibility in using different deep learning software (TensorFlow, Pytorch, Keras, etc.) is expected. The internship is for 3-6 months with flexible start date.
Research Areas: Computer Vision
Contact: Anoop Cherian
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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