Machine Learning Engineer with Security Clearance

NLP PEOPLE; Colorado Springs (CO); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Competitive Wages

Medical, Rx, Dental & Vision Insurance

Health Savings Account eligibility

Company-funded Basic Life Insurance

Company-funded Short-Term & Long-Term Disability

Job summary

NLP PEOPLE seeks a Machine Learning Engineer to develop, train, and analyze machine learning models in Colorado Springs, Colorado. This in-office role requires at least 4 days of presence each week.

The ideal candidate has a Bachelor's degree in a technical field and 3+ years of experience in machine learning, along with proficiency in Python and PyTorch.

Benefits include competitive wages, medical insurance, and company-funded disability insurance.

Qualifications

• 3+ years of professional experience in machine learning or data science.
• Hands-on experience with PyTorch for deep learning models.
• Experience in building backend software, data pipelines, or APIs.

Responsibilities

• Develop and analyze machine learning models using Python and PyTorch.
• Build software components that support ML workflows.
• Communicate technical results clearly through documentation and presentations.

Skills

Machine Learning

Python

PyTorch

Backend Software Development

Data Science

Education

Bachelor’s degree in computer science, mathematics, software engineering, data science, or a related field

Tools

Docker

GitLab

Kubernetes

Job description

Overview

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.

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

About Nou Systems

nou Systems, Inc. (pronounced “new”) has built a reputation for excellence in innovative engineering, prototype development, and professional services since 2012. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions.

Benefits

• 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 Accidents