Machine Learning Engineer

About the role

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.
• Use 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.

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.
• Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency).
• Comfort with self-direction.
• 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.

Pay

Annual Salary Range: $100,000 - $160,000

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 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-Learn
• Opportunities for Advancement
• Skills Development & Certifications
• Employee Referral Bonus Program
• Corporate Sponsored Events & Community Outreach