Machine Learning Engineer Visa Sponsorship Jobs in Arizona
Arizona's machine learning engineer job market is anchored by major employers like Intel, Honeywell, and Banner Health in the Phoenix metro, alongside a growing presence of tech firms in Tempe and Scottsdale. Arizona State University's AI research output also feeds a steady pipeline of ML talent, making the state an active market for visa sponsorship hiring.
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Get Access To All JobsINTRODUCTION
Honeywell is seeking a Sr. Advanced AI Software Engineer to join our team! In this role, you will lead the strategic vision and roadmap while driving performance, reliability, and quality across our software products to support scalable business growth.
You will report directly to our Director of Engineering, and you’ll work out of our Phoenix, Arizona location on a hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.
YOU MUST HAVE
- 5+ years of hands-on AI/ML experience in production environments. Proven track record of delivering AI-powered systems at scale. Experience working in cross-functional, fast-paced environments
- Core AI / Machine Learning
- Deep expertise in: Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning architectures (CNNs, RNNs, Transformers)
- Hands-on experience with: Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings, vector databases, and semantic search.
- Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional language (Java, C++).
- Solid understanding of: Data structures, algorithms, and distributed systems, API design, microservices, and backend integration, Ability to write clean, maintainable, production-quality code, AI & ML Frameworks.
- Strong experience on one or more cloud platforms: Azure, AWS, Containerization and orchestration: Docker, Kubernetes: CI/CD tools for ML workflows
WE VALUE
- Bachelor’s degree in Computer Science, AI, ML, Data Science, or a related field
- Master’s degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field
- Multi-agent systems and autonomous agents
- Edge AI or model compression/quantization
- AI safety research and explainability techniques
- Knowledge of: SQL and NoSQL databases
- Familiarity with vector databases
- Publications, patents, or open-source contributions in AI/ML
US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.
BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 4/28/2026.
Responsibilities
- Design, build, and deploy advanced AI/ML systems (including LLMs and generative AI) end to end.
- Architect scalable, reliable, and cost-efficient AI solutions for production environments.
- Lead model optimization, evaluation, monitoring, and continuous improvement.
- Drive MLOps practices for training, deployment, CI/CD, and lifecycle management.
- Collaborate with product, data, and platform teams to deliver business-aligned AI outcomes.
- Provide technical leadership through design reviews, mentorship, and AI strategy influence.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
INTRODUCTION
Honeywell is seeking a Sr. Advanced AI Software Engineer to join our team! In this role, you will lead the strategic vision and roadmap while driving performance, reliability, and quality across our software products to support scalable business growth.
You will report directly to our Director of Engineering, and you’ll work out of our Phoenix, Arizona location on a hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.
YOU MUST HAVE
- 5+ years of hands-on AI/ML experience in production environments. Proven track record of delivering AI-powered systems at scale. Experience working in cross-functional, fast-paced environments
- Core AI / Machine Learning
- Deep expertise in: Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning architectures (CNNs, RNNs, Transformers)
- Hands-on experience with: Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings, vector databases, and semantic search.
- Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional language (Java, C++).
- Solid understanding of: Data structures, algorithms, and distributed systems, API design, microservices, and backend integration, Ability to write clean, maintainable, production-quality code, AI & ML Frameworks.
- Strong experience on one or more cloud platforms: Azure, AWS, Containerization and orchestration: Docker, Kubernetes: CI/CD tools for ML workflows
WE VALUE
- Bachelor’s degree in Computer Science, AI, ML, Data Science, or a related field
- Master’s degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field
- Multi-agent systems and autonomous agents
- Edge AI or model compression/quantization
- AI safety research and explainability techniques
- Knowledge of: SQL and NoSQL databases
- Familiarity with vector databases
- Publications, patents, or open-source contributions in AI/ML
US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.
BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 4/28/2026.
Responsibilities
- Design, build, and deploy advanced AI/ML systems (including LLMs and generative AI) end to end.
- Architect scalable, reliable, and cost-efficient AI solutions for production environments.
- Lead model optimization, evaluation, monitoring, and continuous improvement.
- Drive MLOps practices for training, deployment, CI/CD, and lifecycle management.
- Collaborate with product, data, and platform teams to deliver business-aligned AI outcomes.
- Provide technical leadership through design reviews, mentorship, and AI strategy influence.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
Machine Learning Engineer Job Roles in Arizona
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Search Machine Learning Engineer Jobs in ArizonaMachine Learning Engineer Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Arizona?
Intel's semiconductor operations in Chandler, Honeywell's aerospace and defense division in Phoenix, and Banner Health's healthcare AI teams are among the more consistent H-1B visa sponsors for machine learning engineers in Arizona. Smaller fintech and SaaS companies in Scottsdale and Tempe also file sponsorships, though less frequently. Department of Labor LCA disclosure data is a reliable way to verify which employers have sponsored ML roles recently.
Which visa types are most common for machine learning engineer roles in Arizona?
The H-1B is by far the most common visa for machine learning engineers in Arizona, given that ML roles typically require a bachelor's degree or higher in computer science, statistics, or a related field, satisfying the specialty occupation standard. Candidates already holding OPT or STEM OPT through Arizona State University or University of Arizona sometimes transition directly into H-1B sponsorship with their employer. The O-1A is an option for those with demonstrated research recognition or significant publications.
How to find machine learning engineer visa sponsorship jobs in Arizona?
Migrate Mate is built specifically for international job seekers and filters machine learning engineer roles in Arizona by visa sponsorship willingness, saving you from sifting through listings where sponsorship is unavailable. You can browse current openings across Phoenix, Tempe, Scottsdale, and Tucson in one place. Because ML sponsorship hiring in Arizona spans industries from semiconductor manufacturing to healthcare AI, filtering by role and state on Migrate Mate surfaces relevant opportunities across sectors.
Which cities in Arizona have the most machine learning engineer sponsorship jobs?
Phoenix and its immediate suburbs, particularly Tempe, Scottsdale, and Chandler, account for the large majority of machine learning engineer sponsorship activity in Arizona. Chandler is notable for Intel's semiconductor campus, which drives demand for applied ML roles in manufacturing and process optimization. Tucson has a smaller but active market tied to University of Arizona research spinouts and defense contractors such as Raytheon Technologies.
Are there state-specific or role-specific factors that affect machine learning engineer visa sponsorship in Arizona?
Arizona does not have state-level visa rules, but a few local factors shape sponsorship patterns. Arizona State University produces a significant volume of MS and PhD graduates in machine learning each year, which means employers in the Phoenix metro are accustomed to sponsoring OPT-to-H-1B transitions. The state's semiconductor and aerospace industries tend to require security clearances for some roles, which can complicate or limit sponsorship eligibility depending on the position.
What is the prevailing wage for sponsored machine learning engineer jobs in Arizona?
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.