Home › Companies › 9e26f425 D064 4c19 9e7b Cc8236837a7c 19000101 000001 › Machine Learning Engineer
Machine Learning Engineer
9e26f425 D064 4c19 9e7b Cc8236837a7c 19000101 000001 · Colorado Springs CO, Colorado Springs, CO, US, Colorado Springs, CO · Remote · Active · $100,000–$160,000 / year · ADP Workforce Now Recruiting
Job facts
| Field | Value |
|---|---|
| Company | 9e26f425 D064 4c19 9e7b Cc8236837a7c 19000101 000001 |
| Title | Machine Learning Engineer |
| Normalized title | - |
| Department / team | - |
| Location | Colorado Springs CO, CO, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | $100,000–$160,000 / year |
| Status | active |
| ATS provider | ADP Workforce Now Recruiting |
| Posted / first seen | 2026-05-15 / 2026-05-31 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from 9e26f425 D064 4c19 9e7b Cc8236837a7c 19000101 000001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through ADP Workforce Now Recruiting. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Colorado Springs CO. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | 9e26f425 D064 4c19 9e7b Cc8236837a7c 19000101 000001 |
| Source | 75d706fb-b560-4f67-a8c5-a08d8f7e4cb5 |
| ATS provider | ADP Workforce Now Recruiting |
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.
Full job record
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| Board ID | 75d706fb-b560-4f67-a8c5-a08d8f7e4cb5 |
| Provider | adp_workforcenow |
| Provider Job Key | 515313 |
| Title | Machine Learning Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Colorado Springs CO, Colorado Springs, CO, US, Colorado Springs, CO |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | CO |
| City | Colorado Springs CO |
| Salary Raw | 100000.00 To 160000.00 (USD) Annually |
| Salary Min | 100,000 |
| Salary Max | 160,000 |
| Salary Currency | USD |
| Salary Period | year |
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| First Seen At | 2026-05-31 18:37:37Z |
| Last Seen At | 2026-06-06 12:04:28Z |
| Last Checked At | 2026-06-06 12:04:28Z |
| Last Changed At | 2026-06-06 12:04:28Z |
| Inactive At | — |
| Source Posted At | 2026-05-15 12:17:00Z |
| Source Updated At | — |
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"requisitionDescription": "<div><p style=\"margin-left:0in;\" data-pasted=\"true\"><strong>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.</strong></p><p style=\"margin-left:0in;\">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.</p><p style=\"margin-left:0in;\">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. </p><p style=\"margin-left:0in;\"><strong>Responsibilities</strong></p><div style=\"margin-left:0in;\"><ul style=\"list-style-type: disc;margin-left: 0in;\"><li style=\"margin-left:0in;\">Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code. </li><li style=\"margin-left:0in;\">Build backend software components that support ML workflows, data processing, model evaluation, and system integration. </li><li style=\"margin-left:0in;\">Help identify, prepare, and validate training and evaluation datasets.</li><li style=\"margin-left:0in;\">Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.</li><li style=\"margin-left:0in;\">Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.</li><li style=\"margin-left:0in;\">Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.</li><li style=\"margin-left:0in;\">Communicate technical results clearly through written documentation, presentations, and team discussions.</li><li style=\"margin-left:0in;\">Support multiple project teams and help translate ML concepts into practical engineering solutions.</li></ul></div><p style=\"margin-left:0in;\"><strong>Basic Qualifications</strong></p><div style=\"margin-left:0in;\"><ul style=\"list-style-type: disc;margin-left: 0in;\"><li style=\"margin-left:0in;\">Bachelor’s degree in computer science, mathematics, software engineering, data science, or a closely related technical field.</li><li style=\"margin-left:0in;\">3+ years of professional experience in machine learning, data science, or backend software development. </li><li style=\"margin-left:0in;\">Hands-on experience developing, training, or evaluating deep learning models using PyTorch.</li><li style=\"margin-left:0in;\">Professional experience building backend software, data pipelines, APIs, or system integration components.</li><li style=\"margin-left:0in;\">U.S. citizenship and the ability to obtain a Secret security clearance.</li></ul></div><p style=\"margin-left:0in;\"><strong>Preferred Qualifications</strong></p><div style=\"margin-left:0in;\"><ul style=\"list-style-type: disc;\"><li style=\"margin-left:0in;\">Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches. </li><li style=\"margin-left:0in;\">Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency)</li><li style=\"margin-left:0in;\">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.</li><li style=\"margin-left:0in;\">Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration.</li><li style=\"margin-left:0in;\">Experience with ML tools (MLflow, Optuna, or PyTorch Lightning)</li><li style=\"margin-left:0in;\">Experience with RL development using Gymnasium and Ray RLlib.</li><li style=\"margin-left:0in;\">Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex.</li><li style=\"margin-left:0in;\">Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments.</li></ul></div><p style=\"margin-left:0in;\" data-pasted=\"true\"><strong>Position Details</strong></p><ul><li data-pasted=\"true\">This is an in-office role requiring presence at least 4 days per week. </li><li>Annual Salary Range: $100,000 - $160,000</li></ul><p style=\"margin-left:0in;\"><strong>nou (pronounced ‘new’) Systems:</strong></p><p style=\"margin-left:0in;\">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.</p><p style=\"margin-left:0in;\">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.</p><p style=\"margin-left:0in;\"><strong>Benefits of working at nSI</strong></p><p style=\"margin-left:0in;\">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:</p><div style=\"margin-left:0in;\"><ul style=\"list-style-type: disc;margin-left: 0in;\"><li style=\"margin-left:0in;\">Competitive Wages*</li><li style=\"margin-left:0in;\">Medical, Rx, Dental & Vision Insurance</li><li style=\"margin-left:0in;\">Medical plan with Health Savings Account eligibility</li><li style=\"margin-left:0in;\">Generous company-funded Basic Life Insurance</li><li style=\"margin-left:0in;\">Company-funded Short-Term & Long-Term Disability</li><li style=\"margin-left:0in;\">Optional Accident and Critical Illness Insurance</li><li style=\"margin-left:0in;\">Personal Time Off, Annual Leave, and Paid Federal Holidays</li><li style=\"margin-left:0in;\">401(k) Retirement Plan</li><li style=\"margin-left:0in;\">Employee Stock Ownership Plan (ESOP)</li><li style=\"margin-left:0in;\">Tuition Reimbursement for ongoing training, continuing education, or advanced degree programs</li><li style=\"margin-left:0in;\">Personal Development, Learning Opportunities, & Lunch-n-Learns</li><li style=\"margin-left:0in;\">Opportunities for Advancement</li><li style=\"margin-left:0in;\">Skills Development & Certifications</li><li style=\"margin-left:0in;\">Employee Referral Bonus Program</li><li style=\"margin-left:0in;\">Corporate Sponsored Events & Community Outreach</li></ul></div><p style=\"margin-left:0in;\">*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.</p><p style=\"margin-left:0in;\"><strong>nSI is an Equal Opportunity Employer</strong></p><p style=\"margin-left:0in;\">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 <a href=\"http://www.nou-systems.com/workingatnou\" target=\"_blank\">www.nou-systems.com/workingatnou</a>. U.S. citizenship is required for most positions.</p></div>\n",
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