Internship - Anomaly Localization for Industrial Inspection

Mitsubishi Electric Research Labs; Cambridge (MA); On-site; USD 67,000 - 89,000; Full time

Benefits offered by this job

Relocation stipend

Travel coverage

Charlie Card for local commuting

Job summary

MERL invites a self-motivated intern to advance anomaly localization for industrial inspection using computer vision. The work includes few/zero/any-shot anomaly detection and integrating large foundation models.

A PhD student with publications in CV/ML is preferred; you will collaborate with MERL researchers to develop algorithms and manuscripts. Internship duration is at least 3 months with a flexible start date.

Qualifications

• Proficiency in Python programming and familiarity with at least one deep learning framework.
• Experience with PyTorch and large foundation models (e.g. CLIP, Gemma, Qwen).
• PhD candidate with publications in top CV/ML venues preferred.

Responsibilities

• Collaborate with MERL researchers to develop anomaly localization algorithms.
• Prepare manuscripts for scientific publications.
• Contribute to industrial inspection datasets and evaluation protocols.

Skills

Python

PyTorch

Foundation models

Education

PhD student

Tools

GPT/LLM frameworks

Job description

Internship - Anomaly Localization for Industrial Inspection

MERL is looking for a self-motivated intern to work on anomaly localization in industrial inspection setting using computer vision. The relevant topics in the scope include (but not limited to): few/zero/any-shot anomaly detection, generalist/continual/online/long-tailed/multi-view/noisy anomaly detection, how to incorporate large foundation models in image anomaly localization, etc. The candidates with experiences of image anomaly localization in industrial inspection settings (e.g., MVTec-AD, VisA, Real-IAD, or MANTA datasets) and usage of large foundation models are strongly preferred. The ideal candidate would be a PhD student with a strong background in computer vision and machine learning, and the candidate is expected to have 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, AAAI, etc. Proficiency in Python programming and familiarity in at least one deep learning framework are necessary. The ideal candidate is required to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The duration of the internship is ideally to be at least 3 months with a flexible start date.

Required Specific Experience

• Experience with Python, PyTorch, and large foundation models (e.g. CLIP, Gemma, Qwen, etc.).

The pay range for this internship position will be 6-8K per month.

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90‑day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at‑will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.