Machine Learning Engineer

Job Overview

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

• 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 Git Lab-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.

• 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.

• 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 Lang Chain or Llama Index.
• Familiarity with CI/CD pipelines, Kubernetes, Dev Sec Ops  practices, secure artifact repositories, or deployment in restricted DoD environments.

• This is an in‑office role requiring presence at least 4 days per week.
• Annual Salary Range: $100,000 - $160,000.

• 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

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  U.S. citizenship is required for most positions.