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Entry Level Pattern Recognition Jobs (NOW HIRING)

Visual Pattern Recognition & Quality Control: Perform high-level inspection of wafer maps (PNG die ... * Entry-Level Technician: Focuses on mastery of the Map Review process, executing inking ...

Visual Pattern Recognition & Quality Control: Perform high-level inspection of wafer maps (PNG die ... * Entry-Level Technician: Focuses on mastery of the Map Review process, executing inking ...

Visual Pattern Recognition & Quality Control: Perform high-level inspection of wafer maps (PNG die ... * Entry-Level Technician: Focuses on mastery of the Map Review process, executing inking ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2ndtier ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2ndtier ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2ndtier ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier ...

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Entry Level Pattern Recognition information

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$29.5K

$48.8K

$61.5K

How much do entry level pattern recognition jobs pay per year?

As of Sep 11, 2026, the average yearly pay for entry level pattern recognition in the United States is $48,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $53,000.00 per year, depending on experience, location, and employer.

What is an entry level pattern recognition?

An entry level pattern recognition job typically involves analyzing data to identify patterns, trends, and anomalies using statistical and computational techniques. Individuals in this role may work with images, text, audio, or numerical data, applying algorithms to extract meaningful insights. These positions often require a foundational understanding of machine learning, data preprocessing, and basic programming skills. Entry level pattern recognition specialists support senior team members in building models, preparing datasets, and interpreting results to help solve real-world problems.

What are some common challenges faced by entry level pattern recognition professionals, and how can they overcome them?

Entry-level professionals in pattern recognition often encounter challenges such as working with noisy or incomplete datasets, selecting appropriate algorithms, and ensuring their models generalize well to new data. To overcome these hurdles, it's important to develop strong foundational knowledge in data preprocessing, stay updated with the latest research, and seek feedback from more experienced team members. Collaborating closely with data scientists and engineers can also provide valuable insights and accelerate problem-solving.

What are the key skills and qualifications needed to thrive as an entry level pattern recognition specialist, and why are they important?

To thrive as an Entry Level Pattern Recognition Specialist, you need foundational knowledge in mathematics, statistics, and computer science, often supported by a relevant degree or coursework. Familiarity with programming languages such as Python, machine learning libraries like scikit-learn or TensorFlow, and data analysis tools is typically required. Attention to detail, analytical thinking, and strong problem-solving skills help individuals excel in identifying trends and anomalies. These skills are crucial for accurately interpreting complex data and contributing valuable insights to data-driven decision-making processes.

What is the difference between Entry Level Pattern Recognition vs Data Analyst?

AspectEntry Level Pattern RecognitionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsBachelor's degree in statistics, data science, or related field
Work EnvironmentResearch labs, tech companies, manufacturing, or security sectorsBusiness offices, consulting firms, or tech companies
Employer & Industry UsageUsed in AI, machine learning, security, and quality controlUsed in business intelligence, marketing, finance, and operations
Common Search & Comparison IntentUnderstanding entry-level roles focused on pattern recognition skillsComparing roles involving data analysis and interpretation

Entry Level Pattern Recognition involves identifying patterns in data, images, or signals, often in technical or security contexts. Data Analysts interpret data to inform business decisions. While both roles analyze data, Entry Level Pattern Recognition emphasizes pattern detection skills, whereas Data Analysts focus on data interpretation and reporting.

What jobs are good for entry level pattern recognition?

Entry level pattern recognition skills are valuable in roles such as data analyst, quality control technician, or machine learning assistant, where identifying trends and anomalies is essential. These jobs often require basic knowledge of data analysis tools, attention to detail, and sometimes familiarity with programming languages like Python or R.
More about Entry Level Pattern Recognition jobs

What are the most commonly searched types of Pattern Recognition jobs?

The most popular types of Pattern Recognition jobs are:

What states have the most Entry Level Pattern Recognition jobs?

States with the most job openings for Entry Level Pattern Recognition jobs include:

What job categories do people searching Entry Level Pattern Recognition jobs look for?

The top searched job categories for Entry Level Pattern Recognition jobs are:

What other helpful pages are available for Entry Level Pattern Recognition?

Other pages related to Entry Level Pattern Recognition:

Infographic showing various Entry Level Pattern Recognition job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $48,812 per year, or $23.5 per hour.

Entry-Level Quantitative Researcher

Manhattan, NY • On-site

$225K - $300K/yr

Other

Posted 9 days ago


Job description

At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Your Objectives
  • Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
  • Back test and implement trading models and signals in a live trading environment
  • Use unconventional data sources to drive innovation
  • Conduct research and statistical analysis to build and refine monetization systems for trading signals
Your Skills & Talents
  • PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
  • Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
  • Prior experience working in a data driven research environment
  • Experience with translating mathematical models and algorithms into code (Python, R or C++)
  • Independent research experience
  • Ability to manage multiple tasks and thrive in a fast-paced team environment
  • Excellent analytical skills, with strong attention to detail
  • Strong written and verbal communication skills

Opportunities available in Miami, New York.

In accordance with New York City's Pay Transparency Law, the base salary range for this role is $225,000 to $300,000. Base salary does not include other forms of compensation or benefits.

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