Machine Learning Intern Jobs in Denver, CO
Machine Learning Intern jobs in Denver are concentrated in the River North Art District, Cherry Creek, and the Central Business District, with strong demand from tech, aerospace, and healthcare companies. Employers actively hiring include Angi, Xometry, and AppFolio. Scan the live roles below and apply to whichever ones fit.
Find Machine Learning Intern JobsOverview
Showing 5 of 26+ Machine Learning Intern jobs
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 Denver
Find roles in Denver that match your experience and apply in just a few clicks.
Find Machine Learning Intern JobsMachine Learning Intern Job Market in Denver
Who's Hiring
Top Industries Hiring
- Technology & Software
- Transportation & Logistics
Machine Learning Intern Jobs in Denver: Frequently Asked Questions
How do I get a machine learning intern job in Denver?
Focus your search on Denver's tech corridor around River North, the aerospace and defense firms near the Denver Tech Center, and the health-tech companies headquartered in Cherry Creek and Stapleton. Candidates who can show hands-on project work, Python or PyTorch proficiency, and familiarity with cloud platforms common in Colorado's defense and energy sectors move to the front of the line fastest.
Which companies hire machine learning interns in Denver?
Employers hiring machine learning interns in Denver right now include Angi, Xometry, and AppFolio, based on current listings on Migrate Mate as of September 2026. Denver's hiring mix skews toward aerospace contractors, growth-stage SaaS companies, and regional health systems that have built dedicated AI and data science teams.
Are there remote machine learning intern jobs in Denver?
Yes, though availability depends on the role: analytical and modeling work tends to be remote-friendly, while roles tied to proprietary hardware or lab environments are almost always on-site. About 75% of machine learning intern openings tied to Denver are remote or hybrid as of September 2026, with the highest remote share coming from Denver's SaaS and fintech employers.
How can I get a machine learning intern job in Denver with little or no experience?
The most realistic entry path in Denver is through university research partnerships or co-op programs, particularly with Colorado universities that have formal ties to Denver's aerospace and health-tech sectors. Entry-level data analyst and junior data engineer roles at Denver's mid-size SaaS companies frequently serve as lateral stepping stones, and candidates who contribute to open-source ML projects or Kaggle competitions gain a concrete edge with local technical hiring managers.
Which industries hire the most machine learning interns in Denver?
Denver machine learning intern roles concentrate in Technology & Software and Transportation & Logistics, based on current listings on Migrate Mate as of September 2026. Denver's position as a hub for aerospace contractors, regional health systems, and a growing fintech community drives consistent internship demand across all three sectors.
See All 26 Machine Learning Intern Jobs in Denver
Find roles in Denver that match your experience and apply in just a few clicks.
Find Machine Learning Intern Jobs