Machine Learning Intern Jobs in Colorado
Machine Learning Intern jobs in Colorado are concentrated in aerospace and defense, financial technology, and health tech, with Denver, Boulder, and Colorado Springs anchoring most of the hiring activity. Established Colorado employers such as Lockheed Martin, Palantir Technologies, and Ball Corporation regularly bring on machine learning interns to support production ML pipelines, computer vision projects, and natural language processing work. Colorado's deep university research ecosystem and dense cluster of AI-focused startups make this one of the more active intern markets in the Mountain West. Scan the live roles below and apply to whichever ones fit.
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Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.
How You'll Contribute:
- Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
- Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace
- Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
- Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
- Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
- Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
- Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
- Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
- Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production
What You'll Bring to Xometry:
- Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
- 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
- Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
- Hands-on experience with multimodal data (text, images, 3D)
- Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
- Solid grounding in probability, statistics, and optimization for generative modeling
- Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
- Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
- A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders
- Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more
- Must be a U.S. Citizen or Green Card holder (ITAR compliance)
The estimated base salary range for new hires into this role is $140,000-$230,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.
How You'll Contribute:
- Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
- Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace
- Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
- Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
- Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
- Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
- Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
- Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
- Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production
What You'll Bring to Xometry:
- Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
- 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
- Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
- Hands-on experience with multimodal data (text, images, 3D)
- Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
- Solid grounding in probability, statistics, and optimization for generative modeling
- Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
- Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
- A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders
- Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more
- Must be a U.S. Citizen or Green Card holder (ITAR compliance)
The estimated base salary range for new hires into this role is $140,000-$230,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
See All 26 Machine Learning Intern Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Machine Learning Intern JobsMachine Learning Intern Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Machine Learning Intern Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Science & Research
- Electronics & Hardware
- Aerospace & Defense
- Technology & Software
- Transportation & Logistics
What Colorado Employers Look For
The qualifications that appear most often in machine learning intern jobs across Colorado.
- Currently enrolled in a bachelor's or master's program in computer science, data science, or related field
- Proficiency in Python and at least one ML framework such as TensorFlow, PyTorch, or scikit-learn
- Hands-on experience building or evaluating machine learning models through coursework or projects
- Familiarity with SQL and working with structured datasets for model training and validation
- Knowledge of linear algebra, probability, and statistics at an undergraduate level or above
- Ability to work on-site or hybrid in a Colorado location for the internship duration
Machine Learning Intern Jobs in Colorado: Frequently Asked Questions
How do you become a machine learning intern in Colorado?
Machine learning intern roles in Colorado require no state-issued license or registration. The typical path is enrollment in a bachelor's or master's program in computer science, data science, statistics, or a closely related field at a Colorado institution such as CU Boulder, Colorado State University, or the Colorado School of Mines, combined with a portfolio of completed ML projects. Demonstrating applied experience through coursework, research labs, or personal projects is the primary hiring criterion.
Which companies hire machine learning interns in Colorado?
Colorado machine learning intern roles are posted by Angi, Apple, and Xometry and others right now, based on current listings on Migrate Mate as of September 2026. Colorado's concentration of aerospace contractors, federal research labs, and fintech firms means intern programs here often involve production-scale ML systems rather than exploratory research alone.
Which Colorado cities have the most machine learning intern jobs?
Denver, Boulder, and Golden have the most machine learning intern openings in Colorado. Denver dominates due to its density of technology companies and corporate headquarters, Boulder's concentration of AI startups and university spinouts drives strong demand there, and Colorado Springs draws interns through its large aerospace and defense contractors with active engineering programs.
Are there remote machine learning intern jobs in Colorado?
Yes, and more than most technical fields. About 61% of machine learning intern openings tied to Colorado are remote or hybrid as of September 2026, reflecting how naturally the work translates to distributed environments. Model development, data preparation, and experimentation phases are the parts of the role most commonly approved for fully remote arrangements.
How can I get hired as a machine learning intern in Colorado with little or no experience?
The most realistic entry path is applying directly through university recruiting programs at Colorado employers such as Lockheed Martin, Ball Corporation, and Palantir, which run structured intern cohorts for students early in their studies. Building a public project portfolio on GitHub that demonstrates a complete ML workflow, from data cleaning through model evaluation, compensates for limited professional experience. Lateral entry from data analyst or software engineering intern roles at the same companies is another common route into ML-focused teams.
Where can I find and apply to machine learning intern jobs in Colorado?
You can find and apply to machine learning intern jobs in Colorado on Migrate Mate, which lists current openings across the state. Search the roles available, identify the ones that match your background and location, and apply directly through each listing.
See All 26 Machine Learning Intern Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Machine Learning Intern Jobs