Mitsubishi Electric Research Laboratories logo
Mitsubishi Electric Research Laboratories
Posted 178 days agoVerified live 1d ago

Internship - Multimodal Embodied AI

Brief overview

Cambridge, MAIn-person
4 H-1B approvalsDept. of Labor
Designing 3D interactive scenesVision based embodied AI using simulatorsTraining reinforcement learning algorithmsMachine learningProgrammingScientific manuscript preparationImplementation on real robotic hardware

About the company

Mitsubishi Electric Research Laboratories logo
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 self-motivated intern to work on multimodal large language models and embodied AI in dynamic indoor environments. The intern will collaborate with researchers to develop algorithms and prepare manuscripts for scientific publications, requiring a strong background in machine learning and computer vision.

Responsibilities

  • Experience in designing 3D interactive scenes
  • Experience with vision based embodied AI using simulators (implementation on real robotic hardware would be a plus)
  • Experience training large language models on multimodal data
  • Experience with training reinforcement learning algorithms
  • Strong foundations in machine learning and programming
  • Strong track record of publications in top-tier computer vision and machine learning venues (such as CVPR, NeurIPS, etc.)

Skills

  • Experience in designing 3D interactive scenes
  • Experience with vision based embodied AI using simulators
  • Experience training large language models on multimodal data
  • Experience with training reinforcement learning algorithms
  • Strong foundations in machine learning and programming
  • Strong track record of publications in top-tier computer vision and machine learning venues (such as CVPR, NeurIPS, etc.)
  • Hands on experience in using animated 3D human shape models (e.g., SMPL and variants)
  • Implementation on real robotic hardware would be a plus

Qualifications

Must Haves

  • Experience in designing 3D interactive scenes
  • Experience with vision based embodied AI using simulators
  • Experience training large language models on multimodal data
  • Experience with training reinforcement learning algorithms
  • Strong foundations in machine learning and programming
  • Strong track record of publications in top-tier computer vision and machine learning venues (such as CVPR, NeurIPS, etc.)

Nice to Haves

  • Hands on experience in using animated 3D human shape models (e.g., SMPL and variants)
  • Implementation on real robotic hardware would be a plus

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