Internship - Efficient Foundation Models for Edge Intelligence jobs in United States
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Mitsubishi Electric Research Laboratories · 2 months ago

Internship - Efficient Foundation Models for Edge Intelligence

positionCambridge, MA
timeInternship
remoteOnsite
seniorityIntern
money$6,000/mo - $8,000/mo

Mitsubishi Electric Research Laboratories (MERL) is seeking passionate and skilled interns to join their cutting-edge research team focusing on efficient and sustainable AI. The internship offers a unique opportunity to contribute to next-generation machine learning techniques aimed at developing real-time, edge, and energy-efficient AI systems.

Artificial Intelligence (AI)
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Growth Opportunities
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H1B Sponsorednote

Qualification

Generative modelsEfficient architecturesFoundation modelsState-of-the-art machine learningPythonPyTorch

Required

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

Benefits

Relocation stipend
Covered travel to and from MERL
Monthly Charlie Card for local commuting
Weekly social gatherings
Professional development opportunities, including research talks by both internal and external speakers
Health insurance coverage

Company

Mitsubishi Electric Research Laboratories

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Mitsubishi Electric Research Laboratories is the North American arm of the corporate R&D organization of Mitsubishi Electric Corporation.
dateFounded in 1991
location
Cambridge, Massachusetts, USA
people-size51-200 employees
web-link
http://www.merl.com/

H1B Sponsorship

Mitsubishi Electric Research Laboratories has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
2023 (4)
2021 (4)
2020 (10)

Funding

Current Stage
Growth Stage

Leadership Team

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Chiori Hori
Senior Principal Research Scientist
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