Video Anomaly Detection Intern

Job Description

MERL is seeking a highly motivated Ph.D. student for an internship focused on Video Anomaly Detection. This is an exceptional opportunity to contribute to cutting-edge research in machine learning and computer vision within a collaborative research environment.

About the Role

As a Video Anomaly Detection Intern at MERL, you will be instrumental in developing novel ideas to advance the state-of-the-art in detecting anomalous activity in videos. This role involves active collaboration with MERL researchers, algorithm development and testing, and preparing manuscripts for scientific publications.

Key Responsibilities

• Help to develop new ideas for improving state-of-the-art video anomaly detection.
• Collaborate closely with MERL researchers on project execution.
• Design, implement, and test algorithms for video anomaly detection.
• Prepare and contribute to manuscripts for scientific publications in top-tier venues.

Internship Details

• Duration: 3 months
• Start Date: Flexible

Required Qualifications

• Education: Currently enrolled as a graduate student in a Ph.D. program.
• Technical Background:
  • Strong background in machine learning and computer vision.
  • Proficiency in Python programming.
  • Experience with PyTorch is necessary.
• Specific Experience:
  • Some experience with video anomaly detection in particular.
  • Prior publication (at least one paper) in a top-tier computer vision or machine learning conference/journal, such as CVPR, ECCV, ICCV, WACV, ICML, ICLR, NeurIPS, or AAAI.

Compensation & Benefits

• Pay Range: $6,000 – $8,000 per month.
• Additional Benefits:
  • Relocation stipend.
  • Covered travel to and from MERL.
  • Monthly Charlie Card for local commuting.
  • Opportunity to participate in weekly social gatherings.
  • Access to professional development opportunities, including research talks by internal and external speakers.
  • Health insurance coverage for interns who meet the 90-day waiting period.
  • Immigration support for qualified candidates as needed.

Work Authorization & Compliance

Working at MERL requires full authorization to work in the U.S. and access to technology, software, and other information subject to governmental access control restrictions (export controls). Employment is conditioned on continued full U.S. work authorization and the availability of government authorization for the release of these items. MERL reserves the right to adjust employment terms to ensure compliance with applicable employment law and government access control restrictions.

Equal Employment Opportunity

Mitsubishi Electric Research Labs, Inc. (“MERL”) is an equal employment opportunity (EEO) employer. MERL provides equal opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, or genetics. MERL expressly prohibits any form of workplace harassment based on protected characteristics.

Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time.