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Entry Level Pattern Recognition Jobs (NOW HIRING)

Commure

AI Agents Operations Associate

Mountain View, CA · On-site

$20 - $25/hr

Highly detail-oriented with strong pattern recognition * Comfortable working in ambiguous, fast ... entry-level role. You'll be working at the intersection of: * AI systems * Healthcare operations

TheHomeMag

Be Seen First

Business Data Analyst (Entry Level)

Cape Coral, FL · On-site

$50K - $65K/yr

... identify trends, patterns, and actionable insights for stakeholders across departments. • ... As a nationally-recognized direct mail publication, it flawlessly operates across 70 unique markets ...

Moore Tires

Experienced Tire-Tech

Monmouth, IL

$40K - $55K/yr

Assess tread levels and valve quality on tires & check wear patterns. * Mounts/demounts tires ... Must meet or exceed standards set by the industry recognized trade organizations. High School ...

Moore Tires

Experienced Tire-Tech

Kewanee, IL

$40K - $55K/yr

Assess tread levels and valve quality on tires & check wear patterns. * Mounts/demounts tires ... Must meet or exceed standards set by the industry recognized trade organizations. High School ...

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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 May 30, 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 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 are some common challenges faced by entry-level professionals in pattern recognition, 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 is an entry level pattern recognition job?

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 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.

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:
Entry Level Pattern Recognition jobs near you

Infrastructure Engineer - Early Career

Northwoodspace

Torrance, CA • On-site

$112.30K - $147.20K/yr

Full-time

Posted 7 days ago

Job description

About Northwood:
Northwood is a modern space infrastructure company focused on connecting space and Earth. The world runs on space. Space will run on Northwood. Our global ground network ensures that missions ranging from national security, to global connectivity, to disaster response can unlock their full potential and operate every day without fail.
Infrastructure Engineer - Early Career
Entry-level role on the Northwood Infrastructure team. Broad exposure across the stack with
guided growth into one or more areas of depth.
Responsibilities
  • Learn the Northwood stack in depth - AWS, Terraform, Kubernetes, Vault, observability, networking - and identify one or more areas to go deeper in over time.
  • Execute scoped infrastructure tasks. With guidance from senior engineers, execute work that is reviewed and merged without significant rework.
  • Contribute to infrastructure as code, CI/CD pipelines, observability configuration, and operational tooling across the stack.
  • Shadow on-call rotations. Triage incidents and escalate as needed to senior engineers.
  • Participate in post-incident reviews to build operational judgment.
  • Write clear runbooks, component docs, and design notes for work you own. Documentation is part of the deliverable.
  • Pair with senior engineers on larger projects to build pattern recognition for how infrastructure decisions are made and tradeoffs evaluated.

Basic Qualifications
  • 0-2 years of professional experience in infrastructure, platform, DevOps, SRE, networking, or systems engineering.
  • Strong interest in infrastructure engineering and a clear willingness to go deep on one or more facets of the stack.
  • Working familiarity with Linux, networking, and at least one major cloud provider.
  • Some experience with infrastructure as code (Terraform, CloudFormation, Pulumi, or similar) and version control with Git.
  • Comfortable reading and writing code in at least one language (Python, Go, Bash, or similar).
  • Strong written communication. Able to describe problems, document work, and ask good questions.

Preferred Qualifications
A demonstrated interest in one or more of the following through coursework, side projects, prior internships, or homelab work. We're looking for genuine curiosity and a track record of following through on learning.
  • Networking - enterprise, site, or core (Routing, VPNs, firewalls, switching)
  • Security engineering - Vault, identity and access management, SIEM, hardening
  • Compliance - CMMC, FedRAMP, NIST 800-171, ITAR
  • Observability - Prometheus or VictoriaMetrics, Grafana, log pipelines
  • App platform - Kubernetes, Podman, ArgoCD, GitOps
  • CI/CD - pipeline design, scanning and linting, release engineering
  • Cloud architecture - AWS, GovCloud, Cloudflare
  • On-prem and edge - bringing up systems in remote or austere environments

Additional Information:
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Northwood is an Equal Opportunity Employer; employment with Northwood is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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