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Machine Learning Defense Jobs in Colorado (NOW HIRING)

Agile Defense

Data Scientist

Colorado Springs, CO · On-site

... Defense's CDAO ADA IR program • help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized ...

Agile Defense

Data Scientist

Colorado Springs, CO

... Defense's CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at ...

Veho

Senior Machine Learning Platform Engineer

Denver, CO · On-site

$107.60K - $147.70K/yr

S. military during a war, or in a campaign or expedition for which a campaign badge was authorized under the laws administered by the Department of Defense Armed Forces service medal veteran A ...

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Machine Learning Defense information

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 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 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 popular job titles related to Machine Learning Defense jobs in Colorado? For Machine Learning Defense jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Colorado look for? The top searched job categories for Machine Learning Defense jobs in Colorado are:
What cities in Colorado are hiring for Machine Learning Defense jobs? Cities in Colorado with the most Machine Learning Defense job openings:
Machine Learning Defense jobs near you
Infographic showing various Machine Learning Defense job openings in Colorado as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Machine Learning Engineer

Machine Learning Engineer

Nou Systems Inc

Colorado Springs, CO • On-site

$100K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

nou Systems, Inc. (nSI) is a 100% ESOP company solving challenging defense problems in an enjoyable, stimulating environment. We support mission areas including missile defense, battle management, cybersecurity, test range modernization, biotechnology, and space control.

We are pleased to announce an opening for a Machine Learning Engineer who will join our team in Colorado Springs, Colorado. You will help design, develop, and deploy machine learning capabilities across research, prototype, and operationally relevant defense applications.

We are looking for a mid-level engineer with strong fundamentals in machine learning, backend software development, and data science. The ideal candidate can collaborate with teammates to move ML capabilities from concept toward usable systems.

Responsibilities

  • Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code.
  • Build backend software components that support ML workflows, data processing, model evaluation, and system integration.
  • Help identify, prepare, and validate training and evaluation datasets.
  • Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.
  • Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.
  • Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.
  • Communicate technical results clearly through written documentation, presentations, and team discussions.
  • Support multiple project teams and help translate ML concepts into practical engineering solutions.

Basic Qualifications

  • Bachelor’s degree in computer science, mathematics, software engineering, data science, or a closely related technical field.
  • 3+ years of professional experience in machine learning, data science, or backend software development.
  • Hands-on experience developing, training, or evaluating deep learning models using PyTorch.
  • Professional experience building backend software, data pipelines, APIs, or system integration components.
  • U.S. citizenship and the ability to obtain a Secret security clearance.

Preferred Qualifications

  • Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches.
  • Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency)
  • Comfort with self-direction. You'll work with our top technical talent, but we're looking for evidence you can diagnose a problem and approach it strategically.
  • Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration.
  • Experience with ML tools (MLflow, Optuna, or PyTorch Lightning)
  • Experience with RL development using Gymnasium and Ray RLlib.
  • Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex.
  • Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments.

Position Details

  • This is an in-office role requiring presence at least 4 days per week.
  • Annual Salary Range: $100,000 - $160,000

nou (pronounced ‘new’) Systems:

Since its founding in 2012, nou Systems has built a reputation for excellence in innovative engineering, prototype development, and technical and professional services in multiple markets, including missile defense, cybersecurity, test range modernization, and space control. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions.

We offer significant advancement and personal career development opportunities within our dynamic high-tech company. Our culture is firmly established in treating our employees like family.

Benefits of working at nSI

nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following:

  • Competitive Wages*
  • Medical, Rx, Dental & Vision Insurance
  • Medical plan with Health Savings Account eligibility
  • Generous company-funded Basic Life Insurance
  • Company-funded Short-Term & Long-Term Disability
  • Optional Accident and Critical Illness Insurance
  • Personal Time Off, Annual Leave, and Paid Federal Holidays
  • 401(k) Retirement Plan
  • Employee Stock Ownership Plan (ESOP)
  • Tuition Reimbursement for ongoing training, continuing education, or advanced degree programs
  • Personal Development, Learning Opportunities, & Lunch-n-Learns
  • Opportunities for Advancement
  • Skills Development & Certifications
  • Employee Referral Bonus Program
  • Corporate Sponsored Events & Community Outreach

*Final compensation for this position is determined by a variety of factors, such as a candidate’s relevant work experience, skills, certifications, and geographic location.

nSI is an Equal Opportunity Employer

Employment opportunities at nSI are based upon a candidate’s qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. For our complete EEO/AA and Pay Transparency statement, please visit www.nou-systems.com/workingatnou. U.S. citizenship is required for most positions.