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Entry Level Dark Web Monitoring Jobs (NOW HIRING)

... monitoring for security breaches, investigating violations, and implementing security measures ... Kaseya Dark Web ID, Cisco DUO, Cisco Umbrella, RapidFire Tools: Network Detective, Compliance ...

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Monitor and manage incoming monitoring alerts, validating and resolving when appropriate * Resolve ... Dark Web ID, Inky Premier L2 Support / Escalation with Kaseya / Datto HPE / Aruba VMware Hyper-V ...

Be Seen First

Monitor and manage incoming monitoring alerts, validating and resolving when appropriate * Resolve ... Dark Web ID, Inky Premier L2 Support / Escalation with Kaseya / Datto HPE / Aruba VMware Hyper-V ...

Uniforms are provided. Entry Level Position - will learn the skills necessary to run a web press ... Monitor product for quality during job runs. Check preciseness of detail against specifications and ...

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.

... entry level interns to senior leadership. This role also has the opportunity to contribute to ... Monitor request scope and execute change control when additional requests for features or ...

Analyst, DataWatcher - US

Creve Coeur, MO · On-site +1

$100K - $125K/yr

Prepare and deliver reporting tied to open source and dark web intelligence queries. * Assist with ... Monitor industry changes and leading practice trends to identify opportunities for process/service ...

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Entry Level Dark Web Monitoring information

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$32K

$94.1K

$161.5K

How much do entry level dark web monitoring jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry level dark web monitoring in the United States is $94,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $101,500.00 per year, depending on experience, location, and employer.

Is it worth getting an entry level dark web monitoring job?

An entry level dark web monitoring job involves tracking and analyzing online activity to identify security threats, requiring skills in cybersecurity tools and understanding of dark web environments. It can provide valuable experience for those interested in cybersecurity careers and often offers opportunities for skill development and certifications. However, it may involve irregular hours and exposure to sensitive information, so assessing personal interest and readiness is important.
More about Entry Level Dark Web Monitoring jobs
What cities are hiring for Entry Level Dark Web Monitoring jobs? Cities with the most Entry Level Dark Web Monitoring job openings:
What are the most commonly searched types of Dark Web Monitoring jobs? The most popular types of Dark Web Monitoring jobs are:
Infographic showing various Entry Level Dark Web Monitoring job openings in the United States as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $94,149 per year, or $45.3 per hour.

Machine Learning Engineer, Detection (NY)

Doppel Inc

New York, NY • On-site

$150K - $365K/yr

Full-time

PTO

Re-posted 12 days ago


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.