Internship: Multimodal Learning
MERL is looking for a self-motivated intern to work on problems at the intersection of video understanding, audio/speech recognition, and language models. The ideal candidate would be a PhD student with a strong mathematical background in machine learning and computer vision. 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). Knowledge of deep learning for speech recognition and experience with 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 intern is expected to collaborate with computer vision and speech teams at MERL to develop algorithms and prepare manuscripts for scientific publications. The internship is for 3 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.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.
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