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Entry Level Cyber Security Social Engineering Jobs

Carahsoft Technology Corp

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Reston, VA · On-site

$40K - $50K/yr

BACK TO CAREERS Security Operations Specialist Carahsoft seeks an entry level Security Operations ... Knowledge of phishing techniques, email security, and social engineering tactics. * Knowledge of ...

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All JobsEntry Level Cyber Security Social Engineering Jobs

Entry Level Cyber Security Social Engineering information

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$40.5K

$122.9K

$180K

How much do entry level cyber security social engineering jobs pay per year?

As of Jun 29, 2026, the average yearly pay for entry level cyber security social engineering in the United States is $122,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Cyber Security Social Engineering vs Entry Level Cyber Security Penetration Tester?

AspectEntry Level Cyber Security Social EngineeringEntry Level Cyber Security Penetration Tester
CertificationsCompTIA Security+, Certified Ethical Hacker (CEH) (entry-level)CompTIA Security+, CEH, OSCP (entry-level)
Work EnvironmentSimulating attacks through manipulation, often in office or remote settingsTesting network and system vulnerabilities, often in lab or client environments
Employer & Industry UsageSecurity firms, corporate security teams, government agenciesSecurity consulting firms, IT departments, cybersecurity firms

Entry Level Cyber Security Social Engineering focuses on manipulating individuals to gain access, while Entry Level Cyber Security Penetration Tester assesses system vulnerabilities. Both roles require foundational cybersecurity knowledge and certifications but differ in their methods and focus areas.

More about Entry Level Cyber Security Social Engineering jobs
What cities are hiring for Entry Level Cyber Security Social Engineering jobs? Cities with the most Entry Level Cyber Security Social Engineering job openings:
What are the most commonly searched types of Cyber Security Social Engineering jobs? The most popular types of Cyber Security Social Engineering jobs are:
What job categories do people searching Entry Level Cyber Security Social Engineering jobs look for? The top searched job categories for Entry Level Cyber Security Social Engineering jobs are:
Entry Level Cyber Security Social Engineering jobs near you
Infographic showing various Entry Level Cyber Security Social Engineering job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $122,890 per year, or $59.1 per hour.
Machine Learning Engineer, Detection (NY)

Machine Learning Engineer, Detection (NY)

Doppel Inc

New York, NY • On-site

$150K - $365K/yr

Full-time

PTO

Posted 3 days ago

Key responsibilities

  • Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources.

  • Partner closely with the Detection and Infrastructure teams to ensure ML systems scale with the volume of web data ingested.

  • Collaborate directly with customers and internal stakeholders to translate real-world threats into production ML systems.

Job description

Why Join Doppel
Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. We help some of the world's most recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection, Human Risk Management and Email Security, Doppel connects threats into a real-time intelligence graph to power faster disruption, smarter defense, and modern security awareness at scale.
Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, and trusted by leading enterprises, Doppel is a rapidly growing Series C startup building the future of social engineering defense. Our team combines deep cybersecurity expertise, operational rigor, and startup velocity to solve some of the internet's most urgent trust and safety challenges.
What We're Building
We're building the AI-native social engineering defense platform.
This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.
What We're Looking For
We're looking for a machine learning engineer to help build and scale the models and systems that power Doppel's detection systems. Check out our blog post on how we set up our ML platform. As an MLE at Doppel, you will
  • Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources.
  • Partner closely with the Detection and Infrastructure teams to ensure our ML systems scale with the volume of web data we ingest
  • Work on problems that range from NLP and embeddings to similarity search, classification, and anomaly detection
  • Collaborate directly with customers and internal stakeholders to translate real-world threats into production ML systems

You may be a fit if you:
  • Have experience building and deploying ML systems in production environments
  • Are comfortable working with large-scale datasets and distributed data processing frameworks
  • Understand the trade-offs between research-quality models and production-ready systems
  • Are excited about solving real-world problems where the adversary is constantly evolving

What We Offer
A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density
Free lunch and dinner in the office
Flexible PTO
Quarterly team offsites
Join Doppel
Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 billion entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective.
We're not just another cybersecurity company. We're defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world's most recognized brands, Doppel is growing fast. If you're driven to solve real-world problems with bold technology, we'd love to meet you.

Apply