CI0213: Internship - Efficient Foundation Models for Edge Intelligence
About The Position
We are seeking passionate and skilled interns to join our cutting-edge research team at Mitsubishi Electric Research Laboratories (MERL), focusing on efficient and sustainable AI. This internship offers a unique opportunity to contribute to next-generation machine learning techniques that enable real-time, edge, and energy-efficient AI systems — with the ultimate goal of publishing at top-tier AI venues. Research Focus Areas Edge AI, real-time AI, and compact neural architectures Energy-efficient and hardware-friendly AI On-device, on-premise, and embedded-system AI Generative and multi-modal foundation models with resource constraints If you are a highly motivated researcher eager to push the boundaries of efficient and sustainable AI, we encourage you to apply. Join us in shaping the future of intelligent systems that are not only powerful but also responsible and sustainable. The pay range for this internship position will be 6-8K per month.
Requirements
- Advanced research experience in generative models, efficient architectures, or foundation models (LLM, VLM, LMM, FoMo)
- Strong understanding of state-of-the-art machine learning and optimization techniques
- Proficiency in Python and PyTorch, with familiarity in other deep learning frameworks
- Proven research record and motivation for publication in leading AI conferences
Responsibilities
- Conduct high-quality research leading to publications in premier AI conferences
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
