Mitsubishi Electric Research Laboratories · 2 months ago
Internship - Anomaly Localization for Industrial Inspection
Cambridge, MA
Internship
Onsite
Intern
$6,000/mo - $8,000/moMitsubishi Electric Research Laboratories (MERL) is seeking a self-motivated intern to work on anomaly localization in industrial inspection using computer vision. The role involves developing algorithms and preparing manuscripts for scientific publications, while collaborating with MERL researchers.
Artificial Intelligence (AI)
Responsibilities
Experience with Python, PyTorch, and large foundation models (e.g. CLIP, ALIGN, etc.)
Collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications
Qualification
Required
Experience with Python, PyTorch, and large foundation models (e.g. CLIP, ALIGN, etc.)
Strong background in computer vision and machine learning
Published at least one paper in a top-tier computer vision, machine learning, or artificial intelligence venues, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI
Ability to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications
Full authorization to work in the U.S
Preferred
Experience of image anomaly localization in industrial inspection settings (e.g., MVTec-AD or VisA datasets)
Usage of large foundation models
Benefits
Relocation stipend
Covered travel to and from MERL
Monthly Charlie Card for local commuting
Participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers
Health insurance coverage
Company
Mitsubishi Electric Research Laboratories
Mitsubishi Electric Research Laboratories is the North American arm of the corporate R&D organization of Mitsubishi Electric Corporation.
Founded in 1991
51-200 employees
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)
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2025 (1)
2024 (2)
2023 (4)
2021 (4)
2020 (10)
Funding
Current Stage
Growth StageLeadership Team
Chiori Hori
Senior Principal Research Scientist
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