ZipRecruiter

Log In

1

Machine Learning Engineer Associate Jobs in Colorado Springs, CO

Omni Federal

ML Engineer

Colorado Springs, CO · On-site

People over process We are seeking a strong Machine Learning Engineer to support the software and ML implementation of a groundbreaking Space Domain Awareness (SDA) initiative.Partnering closely with ...

Nou Systems Inc

DevOps Engineer

Colorado Springs, CO · On-site

$120K - $165K/yr

You will help deploy, scale, and standardize machine learning development workflows in support of ... s Engineer, you will help architect, implement, and maintain modern ML development pipelines. You ...

Agile Defense

Data Scientist

Colorado Springs, CO

... machine learning, and engineering practices into mission-critical environments at Combatant ... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Colorado Springs, CO

Machine Learning Engineer Associate information

See Colorado Springs, CO salary details

$40.9K

$81.4K

$130.1K

How much do machine learning engineer associate jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning engineer associate in Colorado Springs, CO is $81,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $93,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Colorado Springs, CO? The most popular types of Machine Learning Engineer jobs in Colorado Springs, CO are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Colorado Springs, CO? For Machine Learning Engineer Associate jobs in Colorado Springs, CO, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Colorado Springs, CO look for? The top searched job categories for Machine Learning Engineer Associate jobs in Colorado Springs, CO are:
What cities near Colorado Springs, CO are hiring for Machine Learning Engineer Associate jobs? Cities near Colorado Springs, CO with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you
Machine Learning Engineer

Machine Learning Engineer

Nou Systems Inc

Colorado Springs, CO • On-site

$100K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

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.

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.

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. 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.

Position Details

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

nou (pronounced ‘new’) Systems:

Since its founding in 2012, nou Systems has built a reputation for excellence in innovative engineering, prototype development, and technical and professional services in multiple markets, including missile defense, cybersecurity, test range modernization, and space control. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions.

We offer significant advancement and personal career development opportunities within our dynamic high-tech company. Our culture is firmly established in treating our employees like family.

Benefits of working at nSI

nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following:

  • 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

*Final compensation for this position is determined by a variety of factors, such as a candidate’s relevant work experience, skills, certifications, and geographic location.

nSI is an 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.