Mitsubishi Electric Research Laboratories
Posted 86 days agoVerified live 1d ago
Internship - Multi-Modal Sensing and Understanding
Brief overview
Cambridge, MAIn-person
$6k–$8k/moStated range
4 H-1B approvalsDept. of Labor
About the company
Mitsubishi Electric Research Laboratoriesmerl.com
Mitsubishi Electric Research Laboratories is the North American arm of the corporate R&D organization of Mitsubishi Electric Corporation.
Visa sponsorship history
2 years sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.4H-1B approved
100%approval rate
2new H-1B hires
$166,689median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20233
20251
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
Top sponsored roles
Research Scientist
Job description
Summary
Mitsubishi Electric Research Laboratories (MERL) is seeking a highly motivated intern for their Computational Sensing team. The role involves conducting research on algorithms that understand and act on multi-sensor data, while collaborating closely with MERL researchers.
Responsibilities
- Conduct fundamental research on multi-modal sensing and understanding
- Develop novel algorithms
- Design experiments using MERL’s in-house testbeds
- Prepare results for patents and publication
Skills
- 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)
Qualifications
Must Haves
- 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)
Benefits
- MERL provides immigration support for qualified candidates as needed.
- Relocation stipend
- Covered travel to and from MERL
- A monthly Charlie Card for local commuting
- Weekly social gatherings
- 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
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