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3D Machine Learning Jobs in Colorado (NOW HIRING)

... Machine Learning (ML) techniques. Experience in Reinforcement Learning (RL), Computer Vision, or ... 3D reconstruction, NLP, and other application areas including platform control. Requirements ...

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3D Machine Learning information

What is 3d machine learning?

3D machine learning is a field of artificial intelligence focused on developing algorithms and models that can process and understand three-dimensional data. This includes tasks such as object recognition, scene reconstruction, segmentation, and analysis using 3D data formats like point clouds, meshes, or volumetric grids. Applications of 3D machine learning are found in areas like autonomous driving, robotics, medical imaging, and augmented reality. The field combines techniques from computer vision, deep learning, and geometry processing to interpret complex spatial information.

What are the key skills and qualifications needed to thrive as a 3d machine learning engineer, and why are they important?

To thrive as a 3D Machine Learning Engineer, you need a solid background in computer science, mathematics, and experience with 3D data processing and machine learning algorithms, typically supported by a relevant degree. Expertise in tools and frameworks like Python, PyTorch or TensorFlow, and libraries such as Open3D or PCL is commonly required, along with familiarity with 3D data formats. Strong problem-solving skills, creativity, and effective communication set top performers apart in this role. These skills enable the development of innovative solutions for complex 3D data challenges, which are crucial for advancements in fields like robotics, computer vision, and AR/VR.

What are some common challenges faced by professionals working in 3d machine learning, and how can they be addressed?

Professionals in 3D machine learning often encounter challenges such as handling large and complex datasets, managing high computational requirements, and ensuring model robustness across diverse 3D data types (e.g., point clouds, meshes, voxel grids). Addressing these challenges typically involves using efficient data preprocessing pipelines, leveraging cloud computing or advanced GPU resources, and staying updated with the latest research on 3D data augmentation and model architectures. Collaboration with multidisciplinary teams—including data engineers, computer vision experts, and domain specialists—is also crucial for overcoming technical obstacles and producing practical, scalable solutions.

What is the difference between 3D Machine Learning vs 3D Computer Vision?

Aspect3D Machine Learning3D Computer Vision
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Computer Vision, Computer Science, or related fields; experience with image processing
Work EnvironmentResearch labs, AI development teams, tech companiesImaging labs, robotics, autonomous vehicles, tech firms
Industry UsageDeveloping models for 3D data analysis, sensor data integrationProcessing 3D images, object detection, scene reconstruction

While 3D Machine Learning focuses on creating algorithms that learn from 3D data, 3D Computer Vision emphasizes interpreting and analyzing 3D visual information. Both fields often overlap but serve different primary objectives within AI and imaging applications.

What are popular job titles related to 3D Machine Learning jobs in Colorado?

For 3D Machine Learning jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching 3D Machine Learning jobs in Colorado look for?

The top searched job categories for 3D Machine Learning jobs in Colorado are:

What cities in Colorado are hiring for 3D Machine Learning jobs?

Cities in Colorado with the most 3D Machine Learning job openings:

Infographic showing various 3D Machine Learning job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Deep Learning Algorithm Developer with Security Clearance

Toyon Research Corporation

Fort Collins, CO • On-site

$100K - $190K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

> Toyon Research Corporation Deep Learning Algorithm Developer Fort Collins, CO Description U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required. This position is in-person.   Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Reinforcement Learning (RL), Computer Vision, or Natural Language Processing (NLP) is desired for current openings. Our researchers apply AI/ML techniques to develop data processing automation and control solutions for problems in remote sensing, video-based tracking, low-shot classification, 3D reconstruction, NLP, and other application areas including platform control. Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong background in engineering, computer science, physics, and/or mathematics. Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced degree (M.S./Ph.D.) or a Bachelor’s degree and at least two years of industry experience are strongly desired. WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE! * Competitive Industry Pay
* 100% Employer-Paid Medical Insurance Premium
* HSA with Employer Contributions
* Dental and Vision Coverage Options
* Paid Holidays
* Paid Vacation and Sick leave
* Company Funded 401(k) and Profit Sharing Plans
* Employee Stock Ownership Plan (ESOP)
* Life and Disability Insurance  
* Paid Parental Leave
* Discretionary Bonus Eligibility
The annual pay range for the Deep Learning Algorithm Developer position is $100,000 to $190,000 The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate’s education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment.  Equal Opportunity Employer including Disability and Veterans  Applicant Privacy Notice  Learn more about our company in our latest video, We are Toyon.  The application window for this posting will remain open until the position is filled.   Ref #2545-C Powered by Privacy Policy | Payroll & HR Software Toyon Research Corporation: Privacy Policy By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. Cookies Settings Accept All Cookies Privacy Preference Center When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies. Click on the different category headings to find out more and change our default settings. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. More information
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