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Anomaly Detection Intern Jobs (NOW HIRING)

Thermal Engineering R&D Intern

San Jose, CA

$19.75 - $25.50/hr

We are seeking a motivated engineering intern to support the development of an AI/ML-driven system for thermal monitoring, prediction, and anomaly detection during semi-conductor tests. The intern ...

Thermal Engineering R&D Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

The intern will focus primarily on machine learning model development and evaluation, data analysis ... Research, develop, and test ML models (Regression, Time-Series, Anomaly Detection) using Python ...

The AI Intern will support teams with a primary focus on organization, AI workflow development ... Monitoring and anomaly detection: Implementing and maintaining AI-driven tools to monitor ...

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

The AI Intern will support teams with a primary focus on organization, AI workflow development ... Monitoring and anomaly detection: Implementing and maintaining AI-driven tools to monitor ...

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

The AI Intern will support teams with a primary focus on organization, AI workflow development ... Monitoring and anomaly detection: Implementing and maintaining AI-driven tools to monitor ...

The AI Intern will support teams with a primary focus on organization, AI workflow development ... MsoNormal"> Monitoring and anomaly detection: Implementing and maintaining AI-driven tools to ...

Software Engineering Intern As a Software Engineering Intern at Maxima, you will work directly with ... anomaly detection. * Build APIs and integrations with financial systems including ERPs, HRIS, and ...

Security Automation Intern Arnall Golden Gregory seeks a motivated and detail-oriented Security ... Support the use and evaluation of AI-powered security tools (e.g., for anomaly detection, phishing ...

OR · On-site

... anomaly detection. * Design and perform experiments, and share and present findings, potentially as a peer-reviewed publication. * Work with multimodal (camera, lidar, radar) datasets from a ...

The intern will assist with incident response orchestration, AI-assisted threat detection and ... Support the use and evaluation of AI-powered security tools (e.g., for anomaly detection, phishing ...

Software Engineer Intern NYC Haize Labs gets LLM apps out of POCs and into production. We eliminate ... Observability and anomaly detection * Discrete optimization (with applications in architecture ...

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Anomaly Detection Intern information

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How much do anomaly detection intern jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for anomaly detection intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Anomaly Detection Intern, and why are they important?

To thrive as an Anomaly Detection Intern, you need a solid background in statistics, data analysis, and programming, often supported by ongoing studies in computer science, mathematics, or a related field. Familiarity with Python, machine learning libraries (like scikit-learn or TensorFlow), and data visualization tools is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly are important soft skills. These abilities are crucial for accurately identifying data anomalies, collaborating with team members, and contributing to effective data-driven decision-making.

What types of projects do Anomaly Detection Interns typically work on, and how do they contribute to the team’s goals?

As an Anomaly Detection Intern, you’ll often work on real-world datasets to identify unusual patterns or outliers that could indicate issues such as fraud, system failures, or security breaches. You may be tasked with developing and testing machine learning models, analyzing data trends, and collaborating with data scientists and engineers to refine detection algorithms. This hands-on work directly supports the team by improving the accuracy and efficiency of automated monitoring systems, helping organizations respond proactively to potential problems.

What does an Anomaly Detection Intern do?

An Anomaly Detection Intern assists in identifying unusual patterns or outliers in data, which may indicate errors, fraud, or significant events. They typically work with large datasets, using statistical methods and machine learning algorithms to detect anomalies. Interns may support data preprocessing, model development, and result analysis under the supervision of experienced data scientists or engineers. Their work helps organizations uncover hidden issues or opportunities, improving decision-making and operational efficiency.
What are the most commonly searched types of Anomaly Detection jobs? The most popular types of Anomaly Detection jobs are:
Infographic showing various Anomaly Detection Intern job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Temporary. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Internship - Video Anomaly Detection

Internship - Video Anomaly Detection

Mitsubishi Electric Research Laboratories

Cambridge, MA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

MERL is looking for a self-motivated intern to work on the problem of video anomaly detection. The intern will help to develop new ideas for improving the state of the art in detecting anomalous activity in videos. The ideal candidate would be a Ph.D. student with a strong background in machine learning and computer vision and some experience with video anomaly detection in particular. Proficiency in Python programming and Pytorch is necessary. The successful candidate is expected to have published at least one paper in a top-tier computer vision or machine learning venue, such as CVPR, ECCV, ICCV, WACV, ICML, ICLR, NeurIPS or AAAI. The intern will collaborate with MERL researchers to develop and test algorithms and prepare manuscripts for scientific publications. The internship is for 3 months and the start date is flexible.

Required Specific Experience

  • Graduate student in Ph.D. program
  • Experience with PyTorch.
  • Prior publication in computer vision or machine learning conference/journal.

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 MERLs 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.