1

Machine Learning Defense Jobs in Raleigh, NC (NOW HIRING)

... the defense and national security enterprise. We believe people are any organization's most ... Create andmaintaindatasets that support reporting, dashboards, analytics, machine learning, and AI ...

Senior AI Technologist

Raleigh, NC ยท On-site +1

$48.75 - $63/hr

Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled ... Experience supporting scientific, engineering, defense, or national security-related data ...

Senior AI Technologist

Raleigh, NC ยท On-site

$48.75 - $63/hr

Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled ... Experience supporting scientific, engineering, defense, or national security-related data ...

Act as a 1.5 Line of Defense, partnering closely with AI Governance, Model Governance, and AI/Model ... machine learning / generative AI initiatives * Master's or Doctorate degree in relevant field

New

Manufacturing Engineer

Morrisville, NC ยท On-site

$57K - $112K/yr

Anduril Industries is a defense technology company with a mission to transform U.S. and allied ... A genuine interest in manufacturing and thirst for learning * Ability to read and interpret ...

Manufacturing Engineer

Morrisville, NC ยท On-site

$57K - $112K/yr

Anduril Industries is a defense technology company with a mission to transform U.S. and allied ... A genuine interest in manufacturing and thirst for learning * Ability to read and interpret ...

Manufacturing Engineer

Morrisville, NC ยท On-site

$68K - $87K/yr

A genuine interest in manufacturing and thirst for learning * Ability to read and interpret ... Experience supporting aerospace, defense, automotive, and/or energetics facilities * Experience ...

next page

Showing results 1-20

Machine Learning Defense information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do machine learning defense jobs pay per year?

As of Jul 7, 2026, the average yearly pay for machine learning defense in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in Machine Learning Defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.
What are popular job titles related to Machine Learning Defense jobs in Raleigh, NC? For Machine Learning Defense jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Raleigh, NC look for? The top searched job categories for Machine Learning Defense jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Machine Learning Defense jobs? Cities near Raleigh, NC with the most Machine Learning Defense job openings:
Infographic showing various Machine Learning Defense job openings in Raleigh, NC as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

Data Engineer II

Kognitiv Edge

Durham, NC โ€ข On-site

Full-time

Medical, Dental, PTO

Posted 21 days ago


Job description

Salary: $115,000 - $145,000

Role:DataEngineerII

Job Type:Full-time

Years of Experience:3+

Work Arrangement:On-site, in-office (this is not a remote or hybrid position)

Location:Raleigh,NC(approx. 15% travel to customer and deployment sites)

Clearance:Ability to obtain andmaintaina U.S. Government security clearance


AboutKognitivEdge:

Kognitiv Edge (KE) is a mission-driven technology company dedicated tooptimizinghuman performance across the defense and national security enterprise. We believe people are any organization's most important capability, and our mission is to deliver the data, technology, and insights that maximize readiness, resilience, and performance at scale.


We build secure, cloud-native platforms that turn fragmented information into actionable intelligence for the military leaders, healthcare providers, researchers, and operators who depend on it. By integrating data from disparate sources and applying advanced analytics, we help organizations make faster, better-informed decisions that shift them from reactive responses to proactive, data-driven action and improve mission outcomes.


Operating at the intersection of technology, data, and national security, our work supports some of the most demanding environments in the world, where the quality of a decision can carry enormous consequences.


We are a team of builders, problem-solvers, and innovators who thrive on complex challenges with real-world impact. If you are passionate about technology that serves a greater purpose, committed to continuous learning, and eager to work alongside high-performing teammates, we invite you to join us.


Position Summary:

Kognitiv Edge is seeking aData Engineer IIto help build andmaintainthe data infrastructure that powers our human performance platforms. You will work alongside senior engineers, software developers, product leaders, and mission stakeholders to develop scalable data pipelines, integrate diverse data sources, and ensure data is reliable, secure, and accessible.

This role is ideal for a strong engineer looking to expand their technical depth, take ownership of critical systems, and grow into a senior data engineering role.


Key Responsibilities:

  • Design, develop, andmaintainscalable data pipelines, ETL/ELT workflows, and data integration solutions.
  • Build and support integrations with APIs, databases, wearable technologies, enterprise systems, and third-party platforms.
  • Develop processes for ingesting, transforming,validating, and operationalizing structured, semi-structured, and time-series data.
  • Troubleshoot and resolve data quality, performance, reliability, and scalability issues across the platform.
  • Assistin the design and maintenance of data models, schemas, and storage architectures that support analytics and operational needs.
  • Support data governance initiatives, including metadata management, lineage tracking, auditability, and data quality standards.
  • Implement monitoring, logging, alerting, and observability capabilities to ensure platform health and reliability.
  • Create andmaintaindatasets that support reporting, dashboards, analytics, machine learning, and AI initiatives.
  • Collaborate with software engineers, product leaders, analysts, and mission stakeholders to understand requirements and deliver effective solutions.
  • Contribute to the development of trusted, reusable, and secure enterprise data assets.
  • Participate in technical planning, architecture discussions, sprint activities, and continuous improvement efforts.
  • Document technical designs, workflows, operational procedures, and engineering best practices.
  • Continuously evaluate and improve data platform performance, scalability, security, and maintainability.
  • Support Kognitiv Edge's mission of transforming complex human performance data into actionableinsightfor military and government organizations.


Qualifications:

  • 3+ years of experience in data engineering, software engineering, analytics engineering, ora related field.
  • Proficiencyin Python and SQL.
  • Experience building andmaintainingdata pipelines and ETL/ELT workflows.
  • Understanding ofrelational databases and data modeling fundamentals.
  • Experience working in cloud environments such as Azure, AWS, or Google Cloud.
  • Strong analytical and problem-solving skills.
  • Ability to work independently while collaborating effectively within a team.
  • Ability to obtain andmaintaina U.S. Government security clearance.


Preferred Skills:

  • Experience with Azure-native security tooling (e.g., Microsoft Defender for Cloud, Azure Policy, Key Vault, Sentinel).
  • Familiarity with DoD or federal compliance frameworks such as NIST 800-53, RMF, FedRAMP, or DoD STIGs.
  • Experience integrating SAST/DAST/SCA tooling (e.g., SonarQube,Snyk,Trivy) into pipelines.
  • Relevant certifications (e.g., Security+, CISSP, Azure Security Engineer Associate, CKS).
  • Experience supporting accreditation or Authority to Operate (ATO) processes.
  • Familiarity with observability stacks and SIEM tooling.


Benefits:

Benefits of JoiningKognitivEdge


Competitive Compensation Package:AtKognitivEdge, we understand the value of our team members and offer competitive salaries and benefits to reflect their importance in our success.


Health and Wellness Programs:We prioritize the health and well-being of our employees with comprehensive health insurance plans, including medical,dental, andvision coverage, and wellness initiatives.


Professional Growth Opportunities:KognitivEdge is committed to the continuous professional development of our team. Enjoy access to a range of training programs, workshops, and conferences to enhance your skills and career growth.


Innovative Work Environment:Join a team where innovation thrives. Work oncutting-edgeprojects that challenge and expand your technical and creative boundaries.


Paid Time Off:Enjoy generous vacation days, public holidays, and sick leave, ensuring you have ample time to relax and recharge.


Team Building Activities:Be a part of a company culture that values collaboration and camaraderie through regular team outings, events, and activities.


JoinKognitivEdge and be a part of a dynamic team, contributing to groundbreaking solutions in human performance and operational excellence.