MERL is seeking a driven intern to tackle issues at the intersection of multimodal large language models and embodied AI in dynamic indoor environments. The perfect candidate would be a PhD student with a strong foundation in machine learning and computer vision, demonstrated by high-level publications. The candidate must have previous experience with audio-visual AI, large language models, and simulators such as Habitat/SoundSpaces. Experience with animated 3D human shape models (e.g., SMPL and variants) is desirable. The intern will be expected to cooperate with researchers in computer vision and speech teams at MERL to develop algorithms and prepare manuscripts for scientific publications.
Research Areas: Artificial Intelligence, Computer Vision, Machine Learning, Speech & Audio
Contact: Anoop Cherian
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment irrespective of race, color, religion, sex, national origin, age, disability or genetics. Apart from federal law requirements, MERL adheres to applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy pertains 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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Working at MERL needs full authorization to work in the U.S. along with access to technology, software and other information that falls under government access control restrictions because of export controls. Continued employment depends on sustained full authorization to work in the U.S. and the presence of government authorization for the release of these items, which could entail acquiring an export license or other documentation without limitation. For practical compliance with relevant employment laws and government access control restrictions, MERL may delay the start of employment, withdraw a job offer, terminate the employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL finds appropriate.