Mission-Focused ML Engineer (PyTorch & Data Pipelines)

nou Systems

Colorado Springs (CO)

On-site

USD 100,000 - 160,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Competitive Wages
Medical, Rx, Dental & Vision Insurance
401(k) Retirement Plan
Employee Stock Ownership Plan (ESOP)
Tuition Reimbursement
Paid Federal Holidays

Job summary

nou Systems, Inc. in Colorado Springs is hiring a mid-level Machine Learning Engineer to design, develop, and deploy ML capabilities for defense applications across research, prototype, and operational systems.

The role emphasizes Python, PyTorch, backend components, data pipelines, and collaboration across ML, software, and mission teams. In-office work required at least four days per week, with a competitive salary and comprehensive benefits.

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.

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.

Skills

Python
PyTorch
Machine Learning
Backend software development
Data science
GitLab workflows
Communication

Education

Bachelor's degree in computer science, mathematics, software engineering, data science, or a closely related technical field

Tools

Docker
Podman
MLflow
Optuna
PyTorch Lightning
Ray RLlib
LangChain
LlamaIndex
Gymnasium

Job description

nou Systems, Inc. in Colorado Springs is hiring a mid-level Machine Learning Engineer to design, develop, and deploy ML capabilities for defense applications across research, prototype, and operational systems.

The role emphasizes Python, PyTorch, backend components, data pipelines, and collaboration across ML, software, and mission teams. In-office work required at least four days per week, with a competitive salary and comprehensive benefits.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Mission-Critical AI Engineer for Defense Tech
Mission-Critical AI Engineer for Defense Tech

Craigslist (sfbay) • San Francisco (CA)

On-site
USD 120,000 - 190,000
Machine Learning Engineer
Machine Learning Engineer

nou Systems • Colorado Springs (CO)

On-site
USD 100,000 - 160,000
Competitive Wages
Medical, Rx, Dental & Vision Insurance
401(k) Retirement Plan
+3
Python Software Engineer: ML, Cloud & Secure Systems
Python Software Engineer: ML, Cloud & Secure Systems

NT Concepts • Vienna (VA)

Hybrid
USD 84,000 - 145,000
Senior ML Engineer | TS/SCI | Hybrid DoD AI
Senior ML Engineer | TS/SCI | Hybrid DoD AI

Grey Matters Defense Solutions, LLC • Centennial (CO)

Hybrid
USD 200,579,000 - 555,724,000
Medical Insurance
Dental Insurance
Vision Insurance
+10
Senior ML Engineer — AI Models, Pipelines & Deployment
Senior ML Engineer — AI Models, Pipelines & Deployment

TheIncLab • Nashville (TN)

Hybrid
USD 120,000 - 180,000
Hybrid work schedules
Professional development programs
Training and certification reimburse
+4
ML DevOps Engineer - GPU Pipelines & Secure Deployments
ML DevOps Engineer - GPU Pipelines & Secure Deployments

nou Systems • Colorado Springs (CO)

On-site
USD 120,000 - 165,000
Competitive wages
Medical, Rx, Dental & Vision insurance
401(k) Retirement Plan
+1
ML Engineer - Austin, TX
ML Engineer - Austin, TX

Optime • Austin (TX)

Hybrid
USD 140,000 - 210,000
Flexible remote work
Competitive compensation
Equity potential
Security-Cleared AI/ML Engineer I
Security-Cleared AI/ML Engineer I

TORCH.AI • Leawood (KS)

On-site
USD 90,000 - 150,000
Competitive base salary
Quarterly performance bonuses
Equity participation within first 12–m
+3
TS/SCI ML Engineer - Hybrid, Defense-Focused
TS/SCI ML Engineer - Hybrid, Defense-Focused

Grey Matters Defense Solutions • Centennial (CO)

Hybrid
USD 154,000 - 195,000
SEP IRA 25% contribution
Benefit account 25% of salary
Employee assistance program
+3
Defense AI Engineer — Mission-Critical ML & NLP
Defense AI Engineer — Mission-Critical ML & NLP

Aptima • Woburn (MA)

On-site
USD 150,000 - 190,000