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Remote Machine Learning Robotics Jobs in Denver, CO

We use machine learning and real-world data to develop cybersecurity, device intelligence , network ... This position is fully remote. We are hiring across the US, UK, and Canada. In This Role, You Will:

Senior Numerical Algorithm Software Engineer

Boulder, CO ยท On-site +1

$127K - $167K/yr

Advance modeling, simulation, and machine learning toolchains, including development of reusable ... Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or ...

Senior Numerical Algorithm Software Engineer

Boulder, CO ยท On-site +1

$128K - $170K/yr

Advance modeling, simulation, and machine learning toolchains, including development of reusable ... Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Senior Data Analyst

Denver, CO ยท On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ...

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ...

Embedded Software Engineer

Niwot, CO ยท On-site +1

$85K/yr

About SparkFun Since 2003, has been helping turn ideas into reality - whether you're creating a smart weather station, exploring the frontier of machine learning, building a robot for school or ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... AI and machine learning applications, ensuring data is structured and documented for model ...

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Remote Machine Learning Robotics information

See Denver, CO salary details

$33.5K

$65.6K

$102.4K

How much do remote machine learning robotics jobs pay per year?

As of Jun 22, 2026, the average yearly pay for remote machine learning robotics in Denver, CO is $65,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,400.00 and $77,200.00 per year, depending on experience, location, and employer.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in Denver, CO? For Remote Machine Learning Robotics jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Denver, CO look for? The top searched job categories for Remote Machine Learning Robotics jobs in Denver, CO are:

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 19 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.