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Machine Learning Defense Jobs in Denver, CO (NOW HIRING)

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

Apply validation, safety, and explainability practices in support of aerospace/defense requirements ... Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

Apply validation, safety, and explainability practices in support of aerospace/defense requirements ... Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Highlands Ranch, CO · On-site

$102K - $141K/yr

Apply validation, safety, and explainability practices in support of aerospace/defense requirements ... Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ...

Metron Machining

CNC Machine Shop Assistant

Denver, CO

$18 - $20/hr

Aerospace • Defense • Space • Energy Why join Metron Machining? The CNC Machine Shop ... This is a good opportunity for a student, early-career candidate, or someone interested in learning ...

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Showing results 1-20

All JobsMachine Learning Defense JobsMachine Learning Defense Jobs in Denver, CO

Machine Learning Defense information

See Denver, CO salary details

$26.2K

$43.8K

$90.6K

How much do machine learning defense jobs pay per year?

As of Jul 27, 2026, the average yearly pay for machine learning defense in Denver, CO is $43,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,300.00 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 Denver, CO? For Machine Learning Defense jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Denver, CO look for? The top searched job categories for Machine Learning Defense jobs in Denver, CO are:
Machine Learning Defense jobs near you
Senior Staff / Senior Machine Learning Engineer

Senior Staff / Senior Machine Learning Engineer

SciTec

Boulder, CO • On-site

$128K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile
Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.
SciTec has an immediate opportunity for a talented Machine Learning & AI Engineer to support our programs delivering Next-Generation Missile Warning software. This is a unique opportunity to join a small business delivering core capabilities for national defense. You will work within a fast-paced team developing end-to-end machine learning and analytics pipelines for Overhead Persistent InfraRed (OPIR) sensor data supporting Missile Warning, Missile Defense, Battlespace Awareness, and Technical Intelligence.
We are seeking a Staff/Senior Staff Machine Learning & AI Engineer to design, train, and optimize high-performance ML models and algorithms that enhance remote sensor data exploitation and analysis. This role focuses on hands-on algorithm development, model optimization, and integration into production software systems running on Linux.
The ideal candidate is a strong individual contributor with deep experience in machine learning, high-throughput data processing, and applied algorithmic development. Success in this role requires technical curiosity, rigorous engineering practices, and the ability to collaborate effectively within a highly technical, Agile team.
Responsibilities
  • Develop and implement machine learning, deep learning, and AI algorithms for remote sensor data exploitation
  • Design, train, and optimize models supporting image analysis, detection, tracking, and multi-modal sensor fusion
  • Deploy high-performance inference pipelines for large-volume, real-time or near-real-time data processing
  • Collaborate closely with C++ and system-level engineers to integrate ML/AI solutions into existing software frameworks
  • Apply strong software engineering practices to ensure model reproducibility, performance, and maintainability
  • Work as part of an Agile team and contribute to shared tools, workflows, and documentation
  • Other duties as assigned

Requirements
  • A Bachelor's degree in the physical sciences, mathematics, engineering, computer science, or a related field
    (Additional years of education may be substituted for years of professional experience)
  • At least five years of professional experience in machine learning, AI engineering, or applied algorithm development
  • At least three years of experience working in Linux environments
  • Proficiency with Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Strong understanding of data structures, numerical methods, and algorithm design
  • Experience optimizing models and pipelines for high-data-throughput processing
  • Feature engineering and statistical tests, such as Mutual Information and Shapley Analysis
  • Detail oriented with strong problem-solving skills
  • Good verbal and written communication skills
  • Ability to work full-time in-person at the Boulder, CO office location
  • Ability to obtain and maintain a DoD security clearance

Preferred Qualifications
  • Experience with GPU programming and acceleration (CUDA, cuDNN, TensorRT, ROCm, etc.)
  • Direct experience applying ML/AI techniques to OPIR, E/O, SAR, Spectral, RF, or other remotely sensed data
  • Strong understanding of modern software engineering principles, including object-oriented design and SOLID principles
  • Experience with production deployment of ML models, MLOps pipelines, or real-time inference systems
  • Familiarity with C++17/20/23, especially for model integration or high-performance compute components
  • Advanced degree (MS or PhD) in the physical sciences, mathematics, engineering, computer science, or a related discipline
  • Professional fluency in one or more additional languages: Python, Rust, or C++
  • Prior experience in Agile software development environments
  • A current active DoD SECRET clearance or higher

Benefits
SciTec offers a highly competitive salary and benefits package, including:
  • 4% Safe Harbor 401(k) match
  • 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life insurance
  • 100% company paid Long-term Disability insurance
  • 100% company paid Hospital Indemnity insurance
  • Voluntary Accident and Critical Illness insurance
  • Short-term Disability insurance
  • Annual Profit-Sharing Plan
  • Discretionary Performance Bonus
  • Paid Parental Leave
  • Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
  • Flexible Work Hours

The pay range for this position is $127,000 - $193,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.
SciTec is proud to be an Equal Opportunity employer. VET/Disabled
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About SciTec

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

1979

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