AI ML Engineer Visa Sponsorship Jobs in Colorado
Colorado's AI/ML engineering market centers on Denver and Boulder, where companies like Google, Amazon, and Lockheed Martin actively hire for these roles. The state's growing aerospace, defense, and tech sectors, combined with university talent pipelines from CU Boulder and Colorado State, make it a consistent source of visa sponsorship opportunities for international AI and ML engineers.
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Get Access To All JobsAbout Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.
About The Role
Gusto is looking for a Staff AI/ML Engineer to join the Applied Data Science team at Gusto Retirement-App. This is a critical role to build AI and ML framework and infrastructure to enable us to strengthen and optimize how data is used to enable customer journey and experience at Gusto.
Here’s what you’ll do day-to-day:
- Develop, test, and deploy AI/ML models to solve complex business problems, such as anomaly detection, personalized experience, generative AI application, algorithm & optimization.
- Transition models from proof-of-concept to production-ready solutions, ensuring scalability and performance.
- Review and contribute to codebases, participate in pull requests, and maintain high-quality engineering standards.
- Work with containerized environments to deploy, monitor, and troubleshoot ML services.
- Collaborate closely with cross-functional teams, including analytics, engineering, products and business stakeholders, to align solutions with organizational needs.
- Become a domain expert in key business areas, enabling you to craft intelligent, impactful data-driven solutions.
BASIC QUALIFICATIONS
- PhD with 3+ years or MS with 5+ years of industry experience in applied ML/GenAI, data science, or a related field.
- Proven track record of developing and deploying ML solutions in production, from PoC to scalable systems.
- Strong programming skills (Python, Javascript, C++, Java, or Scala) and proficiency in SQL for data extraction and manipulation.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure), MLOps, and containerization (Docker, Kubernetes).
- Ability to work cross-functionally, translating business needs into AI-driven solutions and communicating effectively with technical and non-technical stakeholders.
COMPENSATION
- Our cash compensation amount for this role is targeted at $230k-280k for San Francisco, New York, and Seattle; $205k - 255k in Los Angeles; $185k-234k in Denver; and 200k-250k CAD for Toronto. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
LOCATION
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.
About The Role
Gusto is looking for a Staff AI/ML Engineer to join the Applied Data Science team at Gusto Retirement-App. This is a critical role to build AI and ML framework and infrastructure to enable us to strengthen and optimize how data is used to enable customer journey and experience at Gusto.
Here’s what you’ll do day-to-day:
- Develop, test, and deploy AI/ML models to solve complex business problems, such as anomaly detection, personalized experience, generative AI application, algorithm & optimization.
- Transition models from proof-of-concept to production-ready solutions, ensuring scalability and performance.
- Review and contribute to codebases, participate in pull requests, and maintain high-quality engineering standards.
- Work with containerized environments to deploy, monitor, and troubleshoot ML services.
- Collaborate closely with cross-functional teams, including analytics, engineering, products and business stakeholders, to align solutions with organizational needs.
- Become a domain expert in key business areas, enabling you to craft intelligent, impactful data-driven solutions.
BASIC QUALIFICATIONS
- PhD with 3+ years or MS with 5+ years of industry experience in applied ML/GenAI, data science, or a related field.
- Proven track record of developing and deploying ML solutions in production, from PoC to scalable systems.
- Strong programming skills (Python, Javascript, C++, Java, or Scala) and proficiency in SQL for data extraction and manipulation.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure), MLOps, and containerization (Docker, Kubernetes).
- Ability to work cross-functionally, translating business needs into AI-driven solutions and communicating effectively with technical and non-technical stakeholders.
COMPENSATION
- Our cash compensation amount for this role is targeted at $230k-280k for San Francisco, New York, and Seattle; $205k - 255k in Los Angeles; $185k-234k in Denver; and 200k-250k CAD for Toronto. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
LOCATION
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
AI ML Engineer Job Roles in Colorado
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Search AI ML Engineer Jobs in ColoradoAI ML Engineer Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Colorado?
Several large employers in Colorado have established track records of sponsoring work visas for AI and ML engineers. Google's Boulder office, Amazon Web Services, Lockheed Martin, Raytheon, and Oracle all appear in Department of Labor LCA filings for AI and ML-related roles in the state. Smaller Denver-based tech companies and defense contractors also sponsor, though less frequently and with more variable processes.
Which visa types are most common for AI ML engineer roles in Colorado?
The H-1B is the most common visa category for AI and ML engineers in Colorado, as these roles typically require at least a bachelor's degree in computer science, mathematics, or a related field, meeting the specialty occupation standard. Candidates with extraordinary recognition in the field may qualify for the O-1A. Some Canadian and Mexican nationals working in AI roles pursue the TN visa under the engineer or scientist category.
How to find ai ml engineer visa sponsorship jobs in Colorado?
Migrate Mate filters AI and ML engineer job listings specifically to Colorado and flags roles where employers have a documented history of visa sponsorship. Rather than sorting through hundreds of general postings, you can focus on Colorado-based AI and ML positions from companies that have filed LCAs for similar roles. This saves significant time compared to manually cross-referencing job boards with Department of Labor disclosure data.
Which cities in Colorado have the most AI ML engineer sponsorship jobs?
Denver and Boulder account for the large majority of AI and ML engineer visa sponsorship activity in Colorado. Boulder benefits from proximity to CU Boulder's computer science and data science programs, attracting research-oriented roles. Denver's broader tech and defense contractor presence drives higher overall hiring volume. Colorado Springs also has sponsorship activity, primarily through defense and aerospace employers like Northrop Grumman and L3Harris.
Are there state-specific factors that affect AI ML engineer visa sponsorship in Colorado?
Colorado's strong aerospace and defense sector means a meaningful share of AI and ML roles require security clearances, which can complicate or effectively exclude sponsorship for international candidates without existing work authorization. The state's active university ecosystem, particularly CU Boulder's OPT pipeline, means many employers are already familiar with visa sponsorship for technical roles. Prevailing wage requirements for Colorado metros are set by the Department of Labor and apply to all H-1B filings statewide.
What is the prevailing wage for sponsored ai ml engineer jobs in Colorado?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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