Machine Learning Engineer

nou Systems, Inc.; Colorado Springs (CO); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Employee Stock Ownership Plan (ESOP)

Tuition Reimbursement

Personal Time Off

Job summary

nou Systems, Inc. is seeking a Machine Learning Engineer for our Colorado Springs office to design, develop, and deploy machine learning capabilities for defense applications. The role requires proficiency in Python and PyTorch, along with a Bachelor's degree in a related field.

With a competitive salary ranging from $100,000 to $160,000 annually, this position offers a dynamic work environment focused on continuous improvement and technical innovation.

Qualifications

• 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.
• Strong communication skills with ability to work across teams.

Responsibilities

• Develop, train, evaluate, and analyze machine learning models.
• Build backend software components supporting ML workflows and data processing.
• Help identify, prepare, and validate training datasets.
• Implement ML methods from open literature, including supervised learning.
• Work in Linux-based, containerized environments and contribute to development processes.

Skills

Python

PyTorch

Deep learning

Backend software development

Data pipelines

APIs

Linux

GitLab

Docker

Machine Learning concepts

Education

Bachelor's degree in computer science or related field

Tools

Docker

Podman

MLflow

Optuna

PyTorch Lightning

Kubernetes

Job description

Job Overview

Machine Learning Engineer – Colorado Springs, Colorado. Join our team to design, develop, and deploy machine learning capabilities for defense applications.

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

Benefits Of Working At NSI

• 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

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.