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Remote Deep Learning Engineer Jobs in Colorado Springs, CO

Senior Engineer

Colorado Springs, CO ยท On-site +1

$110K - $180K/yr

This role requires deep expertise in Kubernetes, cloud-native technologies, Infrastructure as Code ... Remote with a preference for candidates based in Colorado Springs, CO and McLean, VA What we will ...

Senior Engineer

Colorado Springs, CO ยท On-site +1

$110K - $180K/yr

This role requires deep expertise in Kubernetes, cloud-native technologies, Infrastructure as Code ... Remote with a preference for candidates based in Colorado Springs, CO and McLean, VA What we will ...

None Potential for Remote Work: ORA_ON_SITE Description ๏ปฟSAIC is seeking a Principal Cloud ... Deep expertise in Infrastructure as Code (IaC): Terraform, AWS CloudFormation. * Hands-on knowledge ...

Chief Engineer

Colorado Springs, CO ยท On-site +1

$160K - $190K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO: Software ...

Chief Engineer

Colorado Springs, CO ยท On-site +1

$169K - $190K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO: Software ...

Google Cloud Engineer

Colorado Springs, CO ยท Remote

$55 - $73.50/hr

The ideal candidate will have a deep understanding of GCP services and technologies, as well as ... Experience with DoD/DISA cybersecurity policies This position will be hybrid / remote based out of ...

Microsoft Teams Engineer Senior

Colorado Springs, CO ยท On-site +1

$103K - $141K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Deep understanding of Teams architecture, policies, governance, compliance controls, and ...

Payments Solutions Engineer Lead

Colorado Springs, CO ยท On-site +1

$101K - $133K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The ideal candidate combines deep payments expertise with strong solution architecture and ...

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Payments Solutions Engineer Lead

Colorado Springs, CO ยท On-site +1

$99K - $130K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The ideal candidate combines deep payments expertise with strong solution architecture and ...

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Remote Deep Learning Engineer information

See Colorado Springs, CO salary details

$10.8K

$82.7K

$138K

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

As of Aug 20, 2026, the average yearly pay for remote deep learning engineer in Colorado Springs, CO is $82,668.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $137,000.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a remote deep learning engineer?

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.

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 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 are popular job titles related to Remote Deep Learning Engineer jobs in Colorado Springs, CO?

For Remote Deep Learning Engineer jobs in Colorado Springs, CO, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning Engineer jobs in Colorado Springs, CO look for?

The top searched job categories for Remote Deep Learning Engineer jobs in Colorado Springs, CO are:

DevOps Engineer

Sphinx Defense

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

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

ABOUT SPHINX

Sphinx builds software to solve complex national security problems in Space. Founded by engineers and technologists with deep experience across commercial and defense technology, we were frustrated by the outdated and insecure technology America's service members are forced to rely on. We're here to do better.ย 

We're focused on building modern, scalable products with an emphasis on using open source technologies. Expect talented, motivated, and interesting colleagues who emphasize collaboration, transparency, and individual responsibility.


ABOUT THE ROLE

The Sphinx Space Communications team is a small, engineering focused team that prioritizes delivering quality products and learning from each other. The team is distributed across the US, with a strong culture that balances independence with collaboration. Expect talented, motivated, and interesting colleagues who are alwaysย  looking to learn from each other.

Sphinx is hiring aย DevOps Engineer to join our team building a cutting edge communications platform for US government satellites. We're looking for an experienced DevOps Engineer to help take our build and deployment automation to the next level. As a DevOps Engineer you will help build the development and deployment infrastructure used by our Space Communications team, which provides infrastructure for a wide variety of US Government satellites. As an early hire on a small team, you will have an outsized role in determining what we build and how we work.ย 


WHAT YOU'LL BE FOCUSING ON
  • Maintain and support existing AWS-based Kubernetes infrastructure and services.
  • Ensure platform reliability, availability, and security across cloud environments.
  • Develop and maintain GitLab CI/CD pipelines to support software delivery.
  • Build and maintain Terraform modules and infrastructure-as-code solutions.
  • Create and manage Helm charts for Kubernetes application deployments.
  • Troubleshoot infrastructure, platform, and application issues across AWS and Kubernetes environments.
  • Manage AWS IAM permissions and cross-account access configurations.
  • Partner with software and platform engineering teams to support operational needs and platform improvements.
  • Continuously improve system performance, automation, observability, and operational efficiency.

WE'RE LOOKING FOR A TRACK RECORD OF THE FOLLOWING

  • Experience maintaining and supporting production AWS-based Kubernetes (EKS) environments.
  • Experience writing, maintaining, and optimizing GitLab CI/CD pipelines.
  • Experience developing and maintaining Infrastructure as Code using Terraform.
  • Experience creating, deploying, and maintaining Helm charts for Kubernetes applications.
  • Strong understanding of AWS IAM, role-based access controls, and cross-account access management.
  • Experience troubleshooting applications and services running in AWS and Kubernetes environments.
  • Proficiency with Python or Go for automation, tooling, and operational support.
  • Experience maintaining highly available cloud infrastructure while meeting performance, reliability, and security requirements.
  • Ability to support cross-functional engineering teams and respond to operational issues as needed.
  • Strong communication skills and a collaborative approach to problem solving.

YOU MIGHT BE A GOOD FIT IF

  • You have hands-on production experience with AWS, Kubernetes (EKS), Terraform, and GitLab CI/CD.
  • You have several years of experience operating and maintaining cloud-native infrastructure.
  • You are comfortable writing automation and tooling in Python or Go.
  • You have experience managing Kubernetes deployments using Helm.
  • You understand AWS IAM permissions, security best practices, and cross-account architectures.
  • You enjoy troubleshooting complex distributed systems and identifying root causes quickly.
  • You are comfortable working across multiple teams and supporting a variety of engineering initiatives.
  • Experience with tools such as Nexus, GitLab, Okta, NeuVector, Kyverno, Sumo Logic, monitoring platforms, alerting systems, or Web Application Firewalls (WAFs) is a plus.
  • You thrive in remote environments and communicate effectively with teammates across distributed teams.
  • ย You have the ability to obtain and maintain a U.S. government TS/SCI clearance.

LOCATION

This role is a hybrid role based in Colorado Springs, CO that offers flexibility while supporting collaboration on classified work. This role will require onsite work as needed to support secure program requirements.


COMPENSATION & BENEFITS
  • This role is between $140,000 - $170,000 base salary.
  • Quarterly bonus structure
  • Equity ownership in the company
  • 100% Premium coverage for medical, dental, and vision for you and dependents
  • Health Savings Accounts
  • Life Insurance
  • 401k employer contribution plan
  • Flexible paid time off policyย 
  • Flexible work/remote work policy
ย