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Remote Deep Learning Engineer Jobs in Colorado (NOW HIRING)

Senior AI/ML Engineer

Denver, CO ยท Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ... For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent ...

Sr. Staff AI/ML Engineer

Denver, CO ยท On-site +1

$245K - $272K/yr

Deep expertise in one or more areas: LLMs, NLP, retrieval/RAG, agent orchestration, deep learning ... remote locations, and $288,000-321,000 for San Francisco & New York. Final offer amounts are ...

Senior AI/ML Engineer

Almont, CO ยท Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ... For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent ...

Senior ML Engineer

Denver, CO ยท On-site +1

$107K - $147K/yr

Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy ... Familiarity with RLHF or preference training is a bonus ๐Ÿ“ Location This is a remote-first role.

Senior Machine Learning Expert

Denver, CO ยท Remote

$89K - $110K/yr

Senior Machine Learning Expert (AI Training) About the Role What if your deep understanding of ... Remote * Commitment : 10-40 hours/week What You'll Do * Author complex, high-fidelity reasoning ...

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Showing results 1-20

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.

Senior Computer Vision AI/ML Engineer (TS/SCI) {S}

Careers - Stratagem - Make a Lasting Impact

Aurora, CO โ€ข Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

ARKA Group L.P. (โ€œARKAโ€) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview:

This position is for aSenior Computer Vision AI/ML Engineer. As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for Electro-Optical (EO) and Synthetic Aperture RADAR (SAR). You will be responsible for maturing, optimizing, and deploying these algorithms to a cloud-hosted environment. You will also serve as a technical leader and will have the opportunity to guide a team of researchers and developers to see these algorithms from prototype to operations.ย 

We offer generous relocation benefits for eligible candidates.

In support of work/life balance, many positions are available for a flexible schedule within the pay period.ย  Ask us about the opportunity for flex scheduling if thatโ€™s of interest to you.ย 

Responsibilities:

As a CV AI/ML Engineer, your responsibilities include:ย 

  • Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensingย 
  • Analyzing and pre-processing large remote sensing datasetsย 
  • Researching supervised and unsupervised ATR solutions for remote sensingย 
  • Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenariosย 
  • Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insightsย 
  • Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applicationsย 
  • Writing technical documentation supporting code, program capabilities and user-guidesย 

              Required Qualifications:

              • BS in machine learning, computer science, computer vision, mathematics, or relevant fields
              • Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customersย 
              • Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performanceย 
              • Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCVย 
              • Experience training wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.)
              • Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customersย 
              • 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML modelsย 
              • Active TS/SCI U.S. Government Security Clearance

                            Preferred Qualifications:

                            • MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fieldsย 
                            • Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL)ย 
                            • Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusionย 
                            • Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problemsย 
                            • Experience working with image processing chains for any of the following domains: SAR, EO, and OPIRย 
                            • Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc.ย 
                            • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.ย 
                            • Experience with version control processes and tools for code version control, data version control, and model version controlย 
                            • Experience with Linuxย 
                            • Experience with implementing tracking and fusion, and pattern-of-life algorithmsย 
                            • Experience in application deployment, virtualization, and containerizationย 
                            • Experience shaping and writing proposalsย 
                            • Active TS/SCI with a Counter Intelligence (CI) or recent Full-Scope Polygraph (FSP) U.S. Government Security Clearance

                            Pay Range: $130,000 - $200,000

                            Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

                            The application window will close in 60 days for this position.

                            Location: Aurora, CO

                            Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport.

                            What We Offer:

                            • Comprehensive medical/vision/dental insurance packages
                            • Company contributions to qualified HSA accounts
                            • 401k retirement plan with industry leading company contributions
                            • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
                            • 13 paid holidays
                            • Upfront tuition assistance for approved degree programs
                            • Annual bonus program based on company and employee performance
                            • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
                            • 4 weeks paid Parental Leave
                            • Employee assistance program (EAP)

                            EHS/Environmental Requirements:

                            This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

                            Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.

                            ITC & Security Clearance Requirements:

                            This position requires an active TS/SCI U.S. Government Security Clearance.

                            Visa Restrictions:

                            No visa sponsorship is available for this position.

                            Pre-employment Screenings:

                            Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.