Internship - Fine-tuning Large language models jobs in United States
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Mitsubishi Electric Research Laboratories · 2 months ago

Internship - Fine-tuning Large language models

Mitsubishi Electric Research Laboratories (MERL) is seeking a self-motivated senior Ph.D. candidate in Computer Science or Electrical Engineering for a 3-month internship focused on developing and applying multi-modal large language models (LLMs). The intern will collaborate with MERL researchers to design and develop LLM-based frameworks for analyzing multi-modal sensor data, prepare technical reports, and contribute to manuscripts for scientific publications.

Artificial Intelligence (AI)
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Growth Opportunities
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H1B Sponsorednote

Responsibilities

Collaborate with MERL researchers to design and develop LLM-based frameworks for analyzing multi-modal sensor data
Prepare technical reports
Contribute to manuscripts for scientific publications

Qualification

Large Language ModelsMulti-modal data analysisMachine learningSignal processingPh.D. Candidate

Required

Experience with LLMs
Multi-modal time sequence data analysis
Ph.D Candidate

Preferred

Experience in fine-tuning LLM foundation models

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.

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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