Multi-Modal Sensing & Understanding Intern

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

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.