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Darpa Program Jobs in Colorado (NOW HIRING)

Judge Group, Inc.

Data Science Engineer

Westminster, CO · On-site

$100K - $140K/yr

Prior work on government R&D programs (SBIR/STTR, AFRL, DARPA, Space Force) and familiarity with Technology Readiness Level (TRL) terminology. Experience with anomaly detection in environments where ...

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Darpa Program information

See Colorado salary details

$22.6K

$48.1K

$66.2K

How much do darpa program jobs pay per year?

As of Sep 2, 2026, the average yearly pay for darpa program in Colorado is $48,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $49,900.00 per year, depending on experience, location, and employer.

What is a DARPA program?

A DARPA Program refers to a research and development initiative managed by the Defense Advanced Research Projects Agency (DARPA), a branch of the U.S. Department of Defense. These programs are designed to create breakthrough technologies and capabilities for national security, often focusing on high-risk, high-reward innovations. DARPA Programs span a wide range of fields, such as artificial intelligence, robotics, cybersecurity, biotechnology, and advanced materials. Each program is typically led by a program manager and aims to transition successful technologies to military or commercial use. Participation often involves collaboration among universities, private companies, and government labs.

What are the key skills and qualifications needed to thrive as a DARPA program manager?

To thrive as a DARPA Program Manager, you need expertise in science or engineering, experience leading research projects, and often an advanced degree (e.g., PhD) in a relevant field. Familiarity with project management tools, government contracting processes, and technical proposal evaluation is typically required. Strategic vision, strong communication, and the ability to inspire and coordinate multidisciplinary teams are standout soft skills. These abilities are crucial for successfully designing, launching, and managing high-impact, innovative research programs that address complex national challenges.

What are some typical challenges faced when working on a DARPA program team?

Working on a DARPA program team often involves tackling highly ambitious technical goals with tight deadlines and evolving requirements. Team members must be adaptable, as projects may pivot based on research findings or shifting priorities. Collaboration is key, as teams are typically multidisciplinary and may include external partners from academia, industry, and government. Successfully managing these dynamics while maintaining innovation and compliance with security protocols is a common challenge.

What is the difference between Darpa Program vs Research Scientist?

AspectDarpa ProgramResearch Scientist
CredentialsTypically requires advanced degrees in science or engineering, often with security clearancesRequires at least a master's degree, often a Ph.D., in a relevant scientific or technical field
Work EnvironmentGovernment-funded projects, often in labs or specialized facilities, with a focus on innovation and defense applicationsAcademic, industrial, or government labs; conducting experiments, data analysis, and publishing research
Employer & IndustryU.S. Department of Defense, research agencies, and contractorsUniversities, research institutions, or corporate R&D departments

While Darpa Programs focus on funding and managing innovative defense research projects, Research Scientists conduct scientific investigations across various fields, often contributing to knowledge and technology development. Both roles require strong technical credentials, but Darpa Programs are more project and funding-oriented within the defense sector, whereas Research Scientists focus on scientific discovery and experimentation.

Is it possible to work at DARPA?

DARPA offers employment opportunities for individuals with backgrounds in science, engineering, and technology, often requiring security clearances and advanced degrees. Positions typically involve research and development in cutting-edge fields, and applicants should have relevant skills and experience. Job openings are posted on government and defense job portals, and candidates undergo rigorous screening processes.

What are the most commonly searched types of Darpa Program jobs in Colorado?

The most popular types of Darpa Program jobs in Colorado are:

What are popular job titles related to Darpa Program jobs in Colorado?

For Darpa Program jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Darpa Program jobs in Colorado look for?

The top searched job categories for Darpa Program jobs in Colorado are:

What cities in Colorado are hiring for Darpa Program jobs?

Cities in Colorado with the most Darpa Program job openings:

Darpa Program jobs near you
Infographic showing various Darpa Program job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $48,077 per year, or $23.1 per hour.

Machine Learning Engineer

Grey Matters Defense Solutions

Centennial, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago

Job description

Job Title:  Machine Learning Engineer           
Clearance Required: TS/SCI
Location:  Centennial, CO | Hybrid 
About Us
Grey Matters Defense Solutions, LLC is a specialized firm in software development, data analytics, and advanced remote sensing technologies, tailored to meet the complex demands of the defense and intelligence sectors. Our team spans senior-level experts from organizations such as the Defense Intelligence Agency (DIA), National Reconnaissance Office (NRO), Defense Advanced Research Projects Agency (DARPA), and the U.S. Armed Forces, as well as recent graduates and military veterans. By integrating the skills of subject matter experts, analysts, software engineers, and data scientists, we deliver unique artificial intelligence algorithms and applications for the defense and intelligence community.
About the Role
As a Machine Learning Engineer at Grey Matters, you will solve real-world problems relevant to the Intelligence Community (IC) and Department of Defense (DoD) using a combination of FOSS, GOTS, and COTS software and hardware. You will contribute to the full AI development lifecycle, from research and feasibility prototyping through integration, development, and product deployment.
Key Responsibilities
  • Support end-to-end model development: architecture selection, training, evaluation, and iteration against mission problems, from feasibility prototype to production candidate
  • Design and run rigorous experiments: baselines, ablations, and held-out evaluation, with clear reporting that supports program decisions
  • Package and deploy models into operational environments, and improve them through continual data acquisition
  • Collaborate with data engineers to support data selection, pre-processing, curation, and extract/transform/load (ETL) of relevant datasets for AI/ML development
Required Qualifications
  • U.S. citizenship
  • Active Top Secret security clearance (SSBI/Tier 5 investigation)
  • Bachelor's degree in a related technical field
  • 7+ years of professional experience with Python
  • 4+ years of hands-on experience with PyTorch or another ML/DL framework
  • Extensive experience training customized state-of-the-art AI models on real-world datasets
  • Strong understanding of data structures, numerical methods, and algorithm design
  • Experience developing software in a Unix/Linux environment
  • Excellent analytical and problem-solving skills
  • Ability to work under minimal supervision
  • Strong verbal and written communication skills
Preferred Qualifications
  • Knowledge of and experience with self-supervised pretraining and downstream adaptation, transfer learning, generative models, and transformers
  • Multi-GPU and distributed training experience (PyTorch DDP or FSDP), including shared cluster resources (Slurm, Kubernetes, Run:ai)
  • Experience with experiment tracking and data/model versioning for reproducibility (MLflow, Weights & Biases, DVC)
  • Experience across deep learning domains, including Natural Language Processing (NLP), computer vision, and time series data
  • Familiarity with other ML/DL frameworks and libraries (PyTorch Lightning, TensorFlow, Keras, fastai, scikit-learn, etc.)
  • Comfort working in restricted or air-gapped development environments
  • Master's or doctoral degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Salary Range:  $70.00 - $193.75 an hour

Grey Matters Defense Solutions, LLC offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term, long-term disability, and voluntary benefits such as accident, hospital indemnity, and wellness benefits. 
Additional Benefits:

  • 25% (of salary) employer contribution distributed monthly to your SEP IRA
  • Individual Benefit Account 25% (of salary to pay for medical insurance premiums and funded time off)
  • Employee assistance program
  • Employee discount
  • Health savings account
  • Referral program
     

Visit us at Grey Matters Defense Solutions
https://www.linkedin.com/company/grey-matters-defense-solutions/

“Know Your Rights: Workplace Discrimination is Illegal”
Questions contact: jenny.rosenberg@greymattersdefense.com
All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Grey Matters Defense Solutions, LLC participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
Grey Matters Defense Solutions, LLC complies with the Colorado Artificial Intelligence Act (CAIA) and maintains policies, controls, and oversight practices designed to mitigate algorithmic discrimination, promote transparency, and ensure responsible use of AI systems in accordance with Colorado law.

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