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Remote Deep Learning Engineer Jobs in Colorado (NOW HIRING)

Senior Algorithm Engineer

Westminster, CO ยท On-site +1

$124K - $165K/yr

The ideal candidate will combine deep technical expertise with practical software development ... Research, prototype, and deploy innovative solutions leveraging machine learning and computer ...

Senior Mechanical Commissioning Engineer (REMOTE)

Denver, CO ยท On-site +1

$107K - $142K/yr

Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Your home location is flexible with remote work available for the right candidate. Your day-to-day ...

Platform Engineer

Aurora, CO ยท On-site +1

Denver, CO preferred (Hybrid) | Also open to San Antonio, TX, Brooklyn, NY, or Remote (US-based ... systems โ€ข Deep expertise with AWS services and cloud architecture best practices โ€ข Strong ...

Distribution Planning Engineer Location: Remote US Ready to make a difference? We are a ... You enjoy taking on new responsibilities and learning new skill sets whenever needed. What you will ...

Sr. Machine Learning Software Engineer

Denver, CO ยท On-site +1

$126K - $166K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... About the Opportunity We are seeking a senior machine learning software engineer to design, build ...

Senior Blockchain Engineer

Almont, CO ยท On-site +1

$157K - $178K/yr

UseBlocky combines deep technical expertise with a remote-first culture, empowering teams to ... The company is committed to innovation, continuous learning, and creating impactful solutions that ...

We are a collaborative, "egoless" team that thrives on continuous learning and pushing the ... Act as the lead architect during deep-dive technical reviews with customer CTOs and Security ...

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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 Jul 10, 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 July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $88,207 per year, or $42.4 per hour.

Senior Algorithm Engineer

Maxar

Westminster, CO โ€ข On-site, Remote

$124K - $165K/yr

Full-time

Retirement

Posted 12 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

Vantor is seeking a highly skilled Algorithm Engineer to join our team and help develop next-generation solutions in computer vision, geospatial analytics, and photogrammetry. This role requires a strong mathematical foundation, extensive experience developing computer vision algorithms, and proficiency in modern software engineering practices.The ideal candidate will combine deep technical expertise with practical software development skills to solve complex real-world problems involving imagery, spatial data, and AI-driven workflows.Key Responsibilities
  • Design, develop, and optimize computer vision and image processing algorithms.
  • Apply advanced mathematical and statistical techniques to solve complex engineering problems.
  • Develop production-quality software using C++ and/or Python.
  • Research, prototype, and deploy innovative solutions leveraging machine learning and computer vision technologies.
  • Collaborate with software engineers, geospatial specialists, and product teams to develop scalable solutions.
  • Analyze large datasets and imagery to improve system accuracy and performance.
  • Participate in system design, code reviews, and technical architecture discussions.
  • Contribute to the development of advanced AI-enabled workflows and engineering practices.
Required Qualifications
  • Bachelors degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.
  • Minimum of 5 years of relevant industry or research experience.
  • Strong mathematical background with demonstrated ability to apply advanced mathematical concepts to engineering challenges.
  • Professional experience developing computer vision, image processing, or machine learning solutions.
  • Strong programming skills in C++ and/or Python.
  • Experience designing, implementing, and validating complex algorithms.
  • Familiarity with AI-assisted software development tools and AI agents used in coding workflows.
  • Excellent problem-solving and analytical skills.
  • Ability to communicate technical concepts effectively across multidisciplinary teams.
Preferred Qualifications
  • Experience with geospatial, photogrammetric, or remote sensing applications.
  • Masters or Ph.D. in a related technical discipline.
  • Experience with machine learning frameworks and modern AI technologies.
  • Experience working with cloud-based processing environments.
  • Experience transitioning research concepts into production software systems.

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.

The base pay for this position within Colorado is: $124,000.00 - $165,000.00 - $181,500.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at:https://www.Vantor.com/careers

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.