Internship - Language-Guided Human-Robot Interaction

Company: Mitsubishi Electric Research Laboratories
Location: Cambridge
Posted on: February 20, 2026

Job Description:

Job Description Job Description MERL is looking for a self-motivated intern to research on the topic of language-guided dynamic human-robot interaction in simulations. The intern must have a strong background in state-of-the-art machine learning research including the knowledge of agentic AI technologies, toolboxes to train/fine-tune large vision-and-language models, as well as expertise working on simulation platforms such as AI Habitat or similar. The intern is expected to collaborate with researchers in the computer vision team at MERL to develop algorithms and prepare manuscripts for scientific publications. Required Specific Experience Experience in realistic simulators, including AI Habitat, TDW, etc. Experience in modeling agentic pipelines for solving complex tasks, including assimilating multimodal data, natural language interaction, and physical reasoning. Strong computer vision and machine learning foundations, including reinforcement learning, training large vision-and-language models, etc. Strong track record of publications in top-tier computer vision and machine learning venues (such as CVPR, NeurIPS, etc.) Must be enrolled in a graduate program, ideally towards a Ph.D. The pay range for this internship position will be 6-8K per month. 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. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Keywords: Mitsubishi Electric Research Laboratories, Barnstable Town , Internship - Language-Guided Human-Robot Interaction, Engineering , Cambridge, Massachusetts