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Pattern Recognition Jobs (NOW HIRING)

Ability to recognize defective fabric or inconsistency in fabric and distinguish color variations ... Maintaining records of fabric patterns and modifications of patterns for additional sizes* Capable ...

Experience with machine learning, anomaly detection, pattern recognition, predictive modeling, clustering, and time-series analysis . * Healthcare experience with claims, clinical, member, provider ...

The ideal candidate will have a strong foundation in data analysis, pattern recognition, and data lineage, along with excellent communication skills and a collaborative mindset. Key Responsibilities

Teaching Assitant

San Jose, CA ยท On-site

$16.50 - $20.75/hr

Work with early learners, preschool and elementary school students * going over phonics, sight words and blending, number counting and pattern recognition * Should be able to explain basic arithmetic ...

Teaching Assitant

San Jose, CA ยท On-site

$16.50 - $20.75/hr

Work with early learners, preschool and elementary school students * going over phonics, sight words and blending, number counting and pattern recognition * Should be able to explain basic arithmetic ...

Senior Data Engineer

Arlington, VA ยท On-site

$121K - $165K/yr

Perform complex data analysis, including trend identification, pattern recognition, linkage analysis, and anomaly detection. * Provide strategic planning and leadership throughout migration ...

Develop and optimize neural network architectures, including CNNs, for real-time image analysis and pattern recognition. * Adapt pre-trained language models to our specific domain and use cases.

Showing results 21-40

Pattern Recognition information

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$33.5K

$77.4K

$126K

How much do pattern recognition jobs pay per year?

As of Sep 11, 2026, the average yearly pay for pattern recognition in the United States is $77,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $86,000.00 per year, depending on experience, location, and employer.

What is a pattern recognition?

A Pattern Recognition job involves developing algorithms and techniques to identify regularities, structures, or trends in data. Professionals in this field work with machine learning, statistical analysis, and computer vision to recognize patterns in images, text, speech, or other datasets. These roles are common in industries such as artificial intelligence, cybersecurity, healthcare, and finance. Skills in programming, mathematics, and data science are essential for success in this field.

What are typical day-to-day responsibilities for someone working in pattern recognition?

Professionals in pattern recognition typically spend their days developing and testing algorithms, analyzing large data sets for underlying patterns, and collaborating with colleagues such as data scientists, engineers, and business analysts. They may also preprocess data, select features, and validate the accuracy of their models, continually refining their approaches based on real-world results. Communication is an important aspect, as they often need to present findings and actionable insights to both technical and non-technical stakeholders. Working in this field provides opportunities to contribute directly to solving real-world problems in areas like image analysis, fraud detection, and natural language processing.

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

Succeeding in the field of pattern recognition requires a strong background in mathematics, statistics, and computer science, often supported by a degree in a related field such as data science, engineering, or artificial intelligence. Familiarity with programming languages like Python or R, machine learning libraries (such as TensorFlow or scikit-learn), and relevant certifications in data analysis or machine learning are highly beneficial. Analytical thinking, attention to detail, and effective problem-solving abilities help you excel in interpreting complex data sets and identifying trends. Mastering these skills is vital for developing accurate models and extracting actionable insights from large volumes of information.

Is pattern recognition a rare skill?

Pattern recognition is a valuable skill in many fields, including roles like data analysis and machine learning, where identifying trends and anomalies is essential. While not extremely rare, it requires practice and often involves training in related tools such as statistical methods or programming languages like Python or MATLAB.
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Infographic showing various Pattern Recognition job openings in the United States as of September 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 72% In-person, 4% Hybrid, and 24% Remote job distribution, with an average salary of $77,376 per year, or $37.2 per hour.

Target Digital Network Analyst 2 with Security Clearance

Baltimore, MD โ€ข On-site

Contractor

Posted 10 days ago


Job description

RealmOne is FOCUSED on you! RealmOne was built on the principle that people matter first and foremost. We believe in providing a strong work/life balance by investing in our employees and encouraging professional and personal growth. We do this by offering exceptional benefits, flexible schedules, and the tools necessary to achieve success through paid training, mentoring, and the opportunity to work alongside top-notch industry professionals. Join us on this journey as we execute this mission-critical contract providing intelligence and cyber analysis support! Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Exploitation Analysts, Digital Network Exploitation Analysts, Target Digital Network Analysts, and Cyber Network Defense Analysts, responsible for improving, protecting, and defending our Nation's Security. Job Description: We are looking for a Target Digital Network Analyst (TDNA) who will conduct advanced analysis of collection and open-source data to generate insights and leads, ensure target continuity, profile targets and their activities, and develop techniques to gain additional target information. You will also maintain appropriate databases for targeting, tasking, and analysis. You will develop comprehensive baseline profiles of designated target sets, identify intelligence gaps to tailor current collection or enable new collection to close the gaps and employ multiple analysis disciplines such as pattern recognition against targets' communications, network usage and digital footprints. You will apply knowledge and understanding of government needs and missions, as well as the targets' culture, behaviors, and communications technologies. You will mentor other analysts on the tools and methodologies used to conduct TDNA. The TDNA Level 2 shall possess the following capabilities: * Conducting advanced analysis of collection and open-source data to generate insights and leads, ensure target continuity, profile targets and their activities, and develop techniques to gain additional target information.
* Maintaining appropriate databases for targeting, tasking, and analysis.
* Developing comprehensive baseline profiles of designated target sets.
* Identifying intelligence gaps to tailor current collection or enable new collection to close the gaps.
* Employing multiple analysis disciplines such as pattern recognition against targets' communications, network usage and digital footprints.
* Applying knowledge and understanding of government needs and missions, as well as the targets' culture, behaviors, and communications technologies.
* Mentoring other analysts on the tools and methodologies used to conduct TDNA. * Conducting advanced analysis of collection and open-source data to generate insights and leads, ensure target continuity, profile targets and their activities, and develop techniques to gain additional target information.
* Maintaining appropriate databases for targeting, tasking, and analysis.
* Developing comprehensive baseline profiles of designated target sets.
* Identifying intelligence gaps to tailor current collection or enable new collection to close the gaps.
* Employing multiple analysis disciplines such as pattern recognition against targets' communications, network usage, and digital footprints.
* Applying knowledge and understanding of DOD needs and missions, as well as the targets' culture, behaviors, and communications technologies.
* Mentoring other analysts on the tools and methodologies used to conduct TDNA. Required Qualifications: * High School Diploma with 9 years of experience.
* Associate's Degree with 7 years of experience.
* Bachelor's Degree with 5 years of experience.
* Master's Degree with 3 years of experience.
* PhD with 2 years of experience.
* 18 semester hours of military training/coursework in networking, computer science, or cyber topics is equivalent to an Associate's degree.
* Degree in Liberal Arts field (e.g., English, History, Communications, Languages and Cultures, International Relations, and Political Science) are preferred, but a degree in any field is acceptable. Position requires active Security Clearance with appropriate Polygraph