Machine Learning Engineer

nou Systems, Inc.

Machine Learning Engineer developing and deploying ML capabilities across defense applications in Colorado Springs. Collaborating on projects to translate ML concepts into practical solutions.

Posted 5/16/2026full-timeColorado Springs • Colorado • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies

DockerLinuxPythonPyTorch

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonPyTorchmachine learningdeep learningdata processingmodel evaluationbackend software developmentAPIsdata pipelinesLinux

Soft Skills

communicationcollaborationproblem-solvingtechnical documentationteam support