Internship - Multi-Modal Sensing and Understanding

Mitsubishi Electric Research Laboratories; Cambridge (MA); On-site; USD 66,960 - 89,280; Full time

Benefits offered by this job

Relocation stipend

Covered travel to and from MERL

Monthly Charlie Card for local commuting

Eligibility for health insurance after 90 days

Job summary

A technology research facility in Cambridge is looking for a highly motivated intern for a 3-month internship in multi-modal sensing and understanding. Ideal candidates should have expertise in various physical sensing modalities, strong programming skills in Python, and a solid foundation in deep learning frameworks. The internship includes a monthly stipend, relocation assistance, and opportunities for professional development. This is an opportunity to work closely with researchers on innovative algorithm development and experimentation.

Qualifications

• Expertise in physical sensing across RF (radar, UWB, Wi-Fi), infrared, LiDAR, and event-camera modalities.
• Solid understanding of transformer-based and diffusion-based frameworks.
• Demonstrated work in text-, visual-, and multimodal semantic understanding.
• Hands-on experience with large-scale multi-sensor datasets.
• Proficiency in Python and deep learning frameworks.
• Proven publication record in top-tier venues.

Responsibilities

• Conduct fundamental research on multi-modal sensing and understanding.
• Work closely with MERL researchers to develop novel algorithms.
• Design experiments using MERL’s in-house testbeds.

Skills

Expertise in physical sensing across RF, infrared, LiDAR, and event-camera modalities

Solid understanding of transformer-based and diffusion-based frameworks

Experience with multimodal semantic understanding and reasoning

Hands-on experience with large-scale multi-sensor datasets

Proficiency in Python and deep learning frameworks

Publication record in top-tier venues

Job description

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Internship - Multi-Modal Sensing and Understanding

The Computational Sensing team at MERL is seeking a highly motivated intern to conduct fundamental research on multi-modal sensing and understanding —algorithms that can understand, explain, and act on multi-sensor data (e.g., RF, infrared, LiDAR, event camera). Ideal candidates will be comfortable bridging state-of-the-art perception (detection/segmentation/tracking) with higher-level semantic understanding and reasoning capabilities. Experience with text, visual, and multimodal reasoning is a plus. The intern will work closely with MERL researchers to develop novel algorithms, design experiments using MERL’s in-house testbeds, and prepare results for patents and publication. The internship is expected to last 3 months, with a flexible start date.

Required Specific Experience

• Expertise in physical sensing across RF (radar, UWB, Wi-Fi), infrared, LiDAR, and event-camera modalities. Experienced with radar systems and concepts including FMCW and MIMO configurations, Doppler signature interpretation, radar point cloud and heatmap representations, and raw ADC waveforms;
• Solid understanding of state-of-the-art transformer-based (e.g., DETR) and diffusion-based (e.g., DiffusionDet) frameworks;
• Demonstrated work in text-, visual-, and multimodal semantic understanding and reasoning.
• Hands-on experience with open large-scale multi-sensor datasets (e.g., nuScenes, Waymo Open Dataset, Argoverse) and open radar datasets (e.g., MMVR, HIBER, RT-Pose, K-Radar).
• Proficiency in Python and deep learning frameworks (PyTorch/JAX), plus experience with GPU cluster job scheduling and scalable data pipelines.
• Proven publication record in top-tier venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML (or equivalent).

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.