Machine Learning Jobs in Colorado
Machine learning jobs in Colorado are concentrated in aerospace and defense, financial technology, and healthcare data analytics, with strong demand from entry-level engineers through principal researchers. Denver, Boulder, and Colorado Springs anchor most of the hiring, where employers like Lockheed Martin, Palantir, and Raytheon Technologies maintain lasting technical teams. The most in-demand specialties are natural language processing, computer vision, and MLOps infrastructure. See the openings below and apply to the ones that match your experience.
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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 31 Machine Learning Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Machine Learning 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 jobs across Colorado.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying production machine learning models
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment
- Strong background in data preprocessing, feature engineering, and model evaluation techniques
- Experience with MLOps practices including model versioning, monitoring, and CI/CD pipelines
Machine Learning Jobs in Colorado: Frequently Asked Questions
How do you become a machine learning engineer in Colorado?
Most machine learning roles in Colorado require a bachelor's degree in computer science, mathematics, or a closely related field, though many employers prefer a master's degree for research or senior positions. Colorado has no state-issued license for this role. Candidates typically build a portfolio of projects demonstrating model development and deployment, contribute to open-source work, and pursue certifications from cloud providers like AWS or Google Cloud to strengthen their applications at Colorado employers.
Which companies hire machine learning engineers in Colorado?
Companies currently hiring machine learnings in Colorado include Apple, Angi, and Xometry, per current listings on Migrate Mate as of September 2026. Colorado's mix of defense contractors, fintech firms, and health tech companies means demand for machine learning talent cuts across several industries rather than concentrating in a single sector.
Which Colorado cities have the most machine learning jobs?
Denver, Boulder, and Colorado Springs are the Colorado cities with the most machine learning openings. Denver drives volume through its dense fintech and health tech ecosystem, Boulder draws research-oriented roles tied to the University of Colorado and a strong startup corridor, and Colorado Springs reflects the concentration of aerospace and defense contractors operating along the Front Range.
Are there remote machine learning jobs in Colorado?
Yes, and more than most fields. About 60% of machine learning openings tied to Colorado are remote or hybrid as of September 2026, reflecting how much of the work centers on code, data pipelines, and model experimentation that translates well to distributed teams. Research and experimentation roles tend to offer the most flexibility, while positions requiring collaboration with embedded hardware or classified defense systems are more likely to require on-site presence.
How can I get hired as a machine learning engineer in Colorado with little or no experience?
The most realistic entry path is securing a junior data scientist or machine learning engineer role through a rotational or new-graduate program at a large Colorado employer. Companies like Lockheed Martin and major Denver-area health systems run early-career technical programs for candidates without full-time experience. Transitioning from adjacent roles such as data analyst or software engineer is common, and completing a capstone project demonstrating end-to-end model deployment gives candidates a concrete edge in Colorado interviews.
Where can I find and apply to machine learning jobs in Colorado?
You can find and apply to machine learning jobs in Colorado on Migrate Mate, which lists current openings from Colorado employers. Search the listings to find roles that match your background and apply directly to the ones that fit your experience and target location.
See All 31 Machine Learning Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Machine Learning Jobs