Intern, Industrial Anomaly Localization & Computer Vision

First Roles; Massachusetts; On-site; USD 60,000 - 100,000; Full time

Job summary

MERL is seeking a self-motivated intern to work on anomaly localization in industrial inspection settings using computer vision. The project covers few-shot / zero-shot / any-shot anomaly detection, continual learning, and integrating large foundation models into image anomaly localization.

The role offers hands-on experience with real-world data and cutting-edge methods, with guidance from a team of researchers.

Qualifications

• Experience with image anomaly localization in industrial inspection settings.
• Familiarity with few-shot, zero-shot or general anomaly detection approaches.
• Knowledge of large foundation models in image analysis is a plus.

Skills

Anomaly localization

Computer vision

Few-shot / zero-shot detection

Industrial inspection

Job description

MERL is seeking a self-motivated intern to work on anomaly localization in industrial inspection settings using computer vision. The project covers few-shot / zero-shot / any-shot anomaly detection, continual learning, and integrating large foundation models into image anomaly localization.

The role offers hands-on experience with real-world data and cutting-edge methods, with guidance from a team of researchers.