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Remote Deep Learning Engineer Jobs in Colorado (NOW HIRING)

Machine Learning Engineer

Colorado Springs, CO ยท On-site +1

$100K - $160K/yr

... 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 ...

Machine Learning Engineer

Denver, CO ยท Remote

$50 - $70/hr

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Machine Learning Engineer - AI Data Trainer Type : Hourly Contract Compensation : $50-$70 /hour ...

$228K - $253K/yr

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ... Deep hands-on experience prototyping, building, releasing, and monitoring mission-critical machine ...

Principal Machine Learning Engineer

Denver, CO ยท On-site +1

$228K - $253K/yr

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ... Deep hands-on experience prototyping, building, releasing, and monitoring mission-critical machine ...

Staff Machine Learning Engineer

Denver, CO ยท On-site +1

$206K - $230K/yr

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ... Deep hands-on experience prototyping, building, releasing, and monitoring mission-critical machine ...

Senior AI/Machine Learning Engineer

Denver, CO ยท On-site +1

$126K - $166K/yr

Deep learning fundamentals - architectures, loss functions, training dynamics - enough to build and ... Applied AI and engineering: * Hands-on LLM/generative-AI delivery - RAG, embeddings, fine-tuning ...

Senior AI/Machine Learning Engineer

Denver, CO ยท On-site +1

$126K - $166K/yr

Deep learning fundamentals - architectures, loss functions, training dynamics - enough to build and ... Applied AI and engineering: * Hands-on LLM/generative-AI delivery - RAG, embeddings, fine-tuning ...

ML Engineer

Denver, CO ยท On-site +1

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About Performacentric Performacentric helps small and ...

Senior Machine Learning Engineer I // II

Denver, CO ยท On-site +1

$107K - $147K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... learning. #LI-Remote Benefits in our US offices: * Discretionary Time Off Policy (Unlimited ...

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Remote Deep Learning Engineer information

See Colorado salary details

$11.6K

$88.2K

$147.2K

How much do remote deep learning engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote deep learning engineer in Colorado is $88,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,700.00 and $146,200.00 per year, depending on experience, location, and employer.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

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

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.
What are popular job titles related to Remote Deep Learning Engineer jobs in Colorado? For Remote Deep Learning Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in Colorado look for? The top searched job categories for Remote Deep Learning Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Deep Learning Engineer jobs? Cities in Colorado with the most Remote Deep Learning Engineer job openings:
Infographic showing various Remote Deep Learning Engineer job openings in Colorado as of June 2026, with employment types broken down into 63% Full Time, 32% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $88,207 per year, or $42.4 per hour.
Machine Learning Engineer

Machine Learning Engineer

nou Systems

Colorado Springs, CO โ€ข On-site, Remote

$100K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

FT-SAL-EXREG

Colorado Springs CO, Colorado Springs, CO, US

Salary Range: $100,000.00 To $160,000.00 Annually

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

  • Bachelorโ€™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 โ€˜newโ€™) 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 candidateโ€™s relevant work experience, skills, certifications, and geographic location.

nSI is an Equal Opportunity Employer

Employment opportunities at nSI are based upon a candidateโ€™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.