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Anomaly Detection Jobs (NOW HIRING)

Quadrant Technologies

Solution Architect

Irvine, CA

$67.50 - $89/hr

Irvine, CA (onsite) Full Time Only Must Have Technical/Functional Skills Solution Architect Team Lead for Observability and Anomaly Detection Platform Build leveraging AI Project is to build a new ...

Purple Drive Technologies

Lead AI-ML Engineer

Westerville, OH · On-site

$98.80K - $130.10K/yr

Key Responsibilities: • Collaborate with stakeholders to understand business objectives and define requirements for anomaly detection. • Develop, optimize, and maintain computational models for ...

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How much do anomaly detection jobs pay per hour?

As of May 29, 2026, the average hourly pay for anomaly detection in the United States is $38.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $51.68 per hour, depending on experience, location, and employer.

What is an Anomaly Detection job?

An Anomaly Detection job involves identifying unusual patterns or deviations in data that do not conform to expected behavior. Professionals in this role use statistical methods, machine learning, and AI techniques to detect fraudulent activities, network intrusions, or system failures. They work in various industries such as finance, cybersecurity, healthcare, and manufacturing. Responsibilities may include data preprocessing, model training, and real-time anomaly detection to improve security and operational efficiency.

What are the key skills and qualifications needed to thrive in the Anomaly Detection position, and why are they important?

To thrive in an Anomaly Detection role, you need a strong background in data analysis, statistics, and machine learning, often supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, and experience using data analysis tools such as TensorFlow, Scikit-learn, or specialized anomaly detection frameworks, are typically required. Strong problem-solving skills, attention to detail, and effective communication enhance your ability to interpret findings and share insights with cross-functional teams. These skills are essential for accurately identifying unusual patterns in data and contributing to an organization's data-driven decision-making processes.

What are typical daily tasks and responsibilities for someone working in Anomaly Detection?

Professionals in Anomaly Detection typically spend their days analyzing large datasets to identify unusual patterns or behaviors that could indicate errors, fraud, or other significant events. They build and maintain models using statistical techniques and machine learning algorithms, validate detected anomalies, and collaborate closely with data engineers, cybersecurity teams, or business analysts depending on the industry. Regular reporting of findings, tuning detection systems for accuracy, and staying updated with emerging methodologies are also important aspects of the job. The role often requires working both independently and as part of a multidisciplinary team to ensure timely and actionable insights are delivered.
More about Anomaly Detection jobs
What are the most commonly searched types of Anomaly Detection jobs? The most popular types of Anomaly Detection jobs are:
What states have the most Anomaly Detection jobs? States with the most job openings for Anomaly Detection jobs include:
What job categories do people searching Anomaly Detection jobs look for? The top searched job categories for Anomaly Detection jobs are:
Anomaly Detection jobs near you
Infographic showing various Anomaly Detection job openings in the United States as of May 2026, with employment types broken down into 6% As Needed, 86% Full Time, 1% Part Time, 5% Contract, and 2% Nights. Highlights an 67% Physical, 24% Hybrid, and 9% Remote job distribution, with an average salary of $80,032 per year, or $38.5 per hour.
Internship - Video Anomaly Detection

Internship - Video Anomaly Detection

Mitsubishi Electric Research Laboratories

Cambridge, MA • On-site

Internship

Posted 13 days ago

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 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.

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