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 JobsJoin Axon and be a Force for Good.
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)
- US: Seattle, Boston, Scottsdale
Responsibilities
- Own one or more key technical areas across LLM, MLLM, CV product portfolio.
- Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
- Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
- Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
- Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
- Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
- Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
- Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
- Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
- Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
- Experience coach and mentor junior scientists.
What You Bring
- PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
- Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
- Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
- Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
- Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
- Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges.
- Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
- Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
- Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work
Location: This role is based out of our Scottsdale, AZ office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.
Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Join Axon and be a Force for Good.
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)
- US: Seattle, Boston, Scottsdale
Responsibilities
- Own one or more key technical areas across LLM, MLLM, CV product portfolio.
- Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
- Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
- Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
- Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
- Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
- Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
- Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
- Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
- Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
- Experience coach and mentor junior scientists.
What You Bring
- PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
- Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
- Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
- Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
- Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
- Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges.
- Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
- Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
- Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work
Location: This role is based out of our Scottsdale, AZ office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.
Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Machine Learning Engineer Job Roles in Arizona
See all Machine Learning Engineer Jobs 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.