Machine Learning Engineer

Nou Systems Inc•Colorado Springs, CO

11d•$100,000 - $160,000•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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.

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.

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