AI ML Engineer Jobs in USA with Visa Sponsorship
AI/ML Engineers are among the most consistently sponsored roles in the U.S. tech industry. H-1B visa is the standard path, and large tech employers file petitions year-round. A bachelor's degree in computer science, mathematics, or a related field is typically required to qualify as a specialty occupation. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
Responsibilities
AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external partners, to develop and deploy effective, efficient, and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency.
As a Senior Principal AI/ML Engineer, you will lead the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well, including workflows, challenges, and requirements of healthcare providers and patients. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop AI solutions that meet clinical needs and are integrated smoothly into clinical processes. You will develop, integrate, and standardize software components and create, maintain, and follow quality system procedures. You will guide the engineering of systems that are pivotal to developing and deploying these solutions, which encompass everything from design requirements, development, component creation, verification, non-clinical validation, and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and setting new benchmarks for safety and effectiveness in clinical settings. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.
This role is instrumental in leading consultative services to departments and divisions, offering insights into complex business problems. Your ability to communicate complex findings in easily understandable terms to non-technical users will bridge the gap between sophisticated AI technologies and clinical applications.
Senior Principal AI/ML Engineers are recognized as top technical authorities in the field of AI/ML and play a critical role in driving innovation and shaping the strategic direction of AI/ML initiatives at Mayo Clinic.
Other Responsibilities May Include:
- Providing strategic direction and technical leadership for AI Engineering initiatives.
- Working with leadership team to define the AI roadmap and prioritize projects aligned with organizational objectives.
- Leading component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations.
- Leading the collaboration with multidisciplinary teams, including clinicians, user experience designers, product managers, and IT professionals, to understand user needs, workflows, and clinical requirements and assess feasibility. Translating user feedback and requirements into design concepts and usability specifications for AI solutions.
- Leading the interpretation of data analysis to guide strategic choices and clarify complex insights for non-technical users to connect AI technologies and clinical applications.
- Leading consultative services to clinical work units or AI product teams, offering insights and strategies to address complex business problems.
- Leveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to lead the design, development, and deployment of end-to-end AI solutions for healthcare applications.
- Establish rigorous evaluation methodologies and performance metrics to assess the effectiveness, usability, and impact of AI solutions in real-world healthcare settings.
- Ensuring compliance with ethical guidelines, regulatory requirements, and data privacy standards in the development and deployment of AI solutions by the AI development team.
- Overseeing the engineering of systems crucial for developing and deploying AI solutions.
- Facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.
- Defining and implementing best practices and standards for AI development and deployment methodologies, tools, and platforms.
- Providing mentorship, guidance, and technical leadership to junior engineers within the AI enablement team. May have supervisory responsibilities.
- Fostering a culture of collaboration, innovation, and knowledge sharing across the organization.
- Supporting talent development initiatives, including training programs, technical workshops, and skill-building activities to enhance team capabilities.
- Contributing to the development of new AI methods and technologies that can advance the state-of-the-art in healthcare AI.
- Publishing and presenting the results of AI development and translation in peer-reviewed journals and conferences.
QUALIFICATIONS
- A master’s degree in engineering, computer science, mathematics, health science, or a related field with 9 years of relevant experience, or a bachelor’s degree with 11 years of relevant experience.
- Extensive (9+ years) experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an acute understanding of healthcare technology.
- Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes.
- Proven success in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
- Demonstrated expertise in cloud infrastructure environment and software development tools.
- Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.
- Strong skills in AI/ML techniques and frameworks.
- Expertise with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
- In-depth knowledge of healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards.
- Demonstrated leadership in administration, education, software development, and technical reporting.
- Experience mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills.
PREFERRED QUALIFICATIONS
- A Ph.D. or other doctorate degree is preferred.
- Strong expertise in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn, Keras, etc.
- Experience with healthcare industry informatics standards, best practices, and common data models. Participation in national or international standards organizations or other domain-specific professional organizations, or extensive implementation experience with common data, development, and deployment standards.
- Excellent communication, collaboration, and stakeholder management skills, with the ability to effectively engage with diverse stakeholders and translate complex technical concepts and results to non-technical audiences.
- Demonstrated experience leading technical/quantitative teams in a regulated environment.
- Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios.
- Demonstrated experience creating risk management files and verification/validation strategies for digital health technology products within the healthcare industry.
- Demonstrated expertise in user-centered design, human factors engineering, usability testing methodologies, and evaluation across AI product development. Ability to lead expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice.
- Strong problem-solving abilities, critical thinking skills, and a passion for driving innovation and positive change in healthcare through AI technology.
EXEMPTION STATUS
Exempt
COMPENSATION DETAIL
$180,024.00 - $261,019.20 / year
BENEFITS ELIGIBLE
Yes
SCHEDULE
Full Time
HOURS/PAY PERIOD
80
SCHEDULE DETAILS
Monday - Friday, 8am - 5pm
INTERNATIONAL ASSIGNMENT
No
SITE DESCRIPTION
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
EQUAL OPPORTUNITY
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
RECRUITER
Ted Keefe
INTRODUCTION
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
Responsibilities
AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external partners, to develop and deploy effective, efficient, and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency.
As a Senior Principal AI/ML Engineer, you will lead the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well, including workflows, challenges, and requirements of healthcare providers and patients. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop AI solutions that meet clinical needs and are integrated smoothly into clinical processes. You will develop, integrate, and standardize software components and create, maintain, and follow quality system procedures. You will guide the engineering of systems that are pivotal to developing and deploying these solutions, which encompass everything from design requirements, development, component creation, verification, non-clinical validation, and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and setting new benchmarks for safety and effectiveness in clinical settings. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.
This role is instrumental in leading consultative services to departments and divisions, offering insights into complex business problems. Your ability to communicate complex findings in easily understandable terms to non-technical users will bridge the gap between sophisticated AI technologies and clinical applications.
Senior Principal AI/ML Engineers are recognized as top technical authorities in the field of AI/ML and play a critical role in driving innovation and shaping the strategic direction of AI/ML initiatives at Mayo Clinic.
Other Responsibilities May Include:
- Providing strategic direction and technical leadership for AI Engineering initiatives.
- Working with leadership team to define the AI roadmap and prioritize projects aligned with organizational objectives.
- Leading component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations.
- Leading the collaboration with multidisciplinary teams, including clinicians, user experience designers, product managers, and IT professionals, to understand user needs, workflows, and clinical requirements and assess feasibility. Translating user feedback and requirements into design concepts and usability specifications for AI solutions.
- Leading the interpretation of data analysis to guide strategic choices and clarify complex insights for non-technical users to connect AI technologies and clinical applications.
- Leading consultative services to clinical work units or AI product teams, offering insights and strategies to address complex business problems.
- Leveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to lead the design, development, and deployment of end-to-end AI solutions for healthcare applications.
- Establish rigorous evaluation methodologies and performance metrics to assess the effectiveness, usability, and impact of AI solutions in real-world healthcare settings.
- Ensuring compliance with ethical guidelines, regulatory requirements, and data privacy standards in the development and deployment of AI solutions by the AI development team.
- Overseeing the engineering of systems crucial for developing and deploying AI solutions.
- Facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.
- Defining and implementing best practices and standards for AI development and deployment methodologies, tools, and platforms.
- Providing mentorship, guidance, and technical leadership to junior engineers within the AI enablement team. May have supervisory responsibilities.
- Fostering a culture of collaboration, innovation, and knowledge sharing across the organization.
- Supporting talent development initiatives, including training programs, technical workshops, and skill-building activities to enhance team capabilities.
- Contributing to the development of new AI methods and technologies that can advance the state-of-the-art in healthcare AI.
- Publishing and presenting the results of AI development and translation in peer-reviewed journals and conferences.
QUALIFICATIONS
- A master’s degree in engineering, computer science, mathematics, health science, or a related field with 9 years of relevant experience, or a bachelor’s degree with 11 years of relevant experience.
- Extensive (9+ years) experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an acute understanding of healthcare technology.
- Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes.
- Proven success in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
- Demonstrated expertise in cloud infrastructure environment and software development tools.
- Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.
- Strong skills in AI/ML techniques and frameworks.
- Expertise with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
- In-depth knowledge of healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards.
- Demonstrated leadership in administration, education, software development, and technical reporting.
- Experience mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills.
PREFERRED QUALIFICATIONS
- A Ph.D. or other doctorate degree is preferred.
- Strong expertise in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn, Keras, etc.
- Experience with healthcare industry informatics standards, best practices, and common data models. Participation in national or international standards organizations or other domain-specific professional organizations, or extensive implementation experience with common data, development, and deployment standards.
- Excellent communication, collaboration, and stakeholder management skills, with the ability to effectively engage with diverse stakeholders and translate complex technical concepts and results to non-technical audiences.
- Demonstrated experience leading technical/quantitative teams in a regulated environment.
- Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios.
- Demonstrated experience creating risk management files and verification/validation strategies for digital health technology products within the healthcare industry.
- Demonstrated expertise in user-centered design, human factors engineering, usability testing methodologies, and evaluation across AI product development. Ability to lead expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice.
- Strong problem-solving abilities, critical thinking skills, and a passion for driving innovation and positive change in healthcare through AI technology.
EXEMPTION STATUS
Exempt
COMPENSATION DETAIL
$180,024.00 - $261,019.20 / year
BENEFITS ELIGIBLE
Yes
SCHEDULE
Full Time
HOURS/PAY PERIOD
80
SCHEDULE DETAILS
Monday - Friday, 8am - 5pm
INTERNATIONAL ASSIGNMENT
No
SITE DESCRIPTION
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
EQUAL OPPORTUNITY
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
RECRUITER
Ted Keefe
See all 4,743+ AI ML Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI ML Engineer
Target employers with H-1B cap-exempt status
Universities, nonprofit research institutions, and affiliated entities are exempt from the H-1B lottery. For AI/ML roles, this includes research labs and academic medical centers that hire engineers to support funded projects.
Align your degree field to your job function
USCIS scrutinizes whether your degree directly relates to the role. A computer science, statistics, or electrical engineering degree supports most AI/ML petitions. A business or unrelated degree will require a stronger supporting argument from your employer.
Document your specialized technical skills in detail
H-1B petitions for AI/ML roles should reference specific frameworks, architectures, and methodologies you use. Generalized descriptions of machine learning work are more likely to face a Request for Evidence than role-specific technical language.
Large tech employers sponsor most reliably
Companies filing the highest volume of AI/ML H-1B petitions include established technology firms with dedicated immigration teams. These employers have established LCA and petition processes, which reduces processing delays and RFE risk for candidates.
Register for the H-1B lottery as early as possible
H-1B registration opens in March each year. If you have a job offer, confirm your employer is prepared to register on time. Missing the window means waiting another full year, so timeline coordination with HR matters significantly.
O-1A is a viable alternative if you have a strong research profile
AI/ML engineers with published papers, conference presentations, patents, or peer review credits may qualify for the O-1A extraordinary ability visa. It has no cap and no lottery, making it a practical path if H-1B selection fails.
AI ML Engineer jobs are hiring across the US. Find yours.
Find AI ML Engineer JobsFrequently Asked Questions
Is AI/ML Engineer considered a specialty occupation for H-1B purposes?
Yes, AI/ML Engineer is consistently approved as a specialty occupation. USCIS requires that the role normally requires a bachelor's degree or higher in a specific field such as computer science, mathematics, or electrical engineering. Generic job descriptions that don't specify degree requirements can trigger a Request for Evidence, so the petition language matters.
Do I need a master's degree to get H-1B sponsorship as an AI/ML Engineer?
A bachelor's degree is sufficient for H-1B eligibility, but a master's degree gives you two meaningful advantages. First, it qualifies you for the advanced degree cap, which offers a separate lottery pool with better selection odds. Second, many employers targeting senior AI/ML roles treat a master's as a practical hiring requirement, which narrows competition.
How competitive is H-1B sponsorship for AI/ML roles compared to other tech jobs?
AI/ML Engineers receive among the highest volumes of H-1B petitions in the tech sector, which means employers are experienced with the process. The lottery selection rate applies equally regardless of job title, but the density of sponsoring employers in this field means more opportunities to secure a registered employer before the March deadline.
Where can I find AI/ML Engineer jobs that offer visa sponsorship?
Migrate Mate is built specifically for candidates who need visa sponsorship. You can browse AI/ML Engineer roles filtered by employers who have a documented history of H-1B filings, which removes the guesswork of cold-applying to companies that don't sponsor. This is more reliable than searching general job boards and filtering manually.
Can I switch employers on an H-1B as an AI/ML Engineer without losing my status?
Yes. H-1B portability allows you to start working for a new employer as soon as they file a transfer petition, without waiting for approval, provided your current H-1B was properly maintained. The new employer must file a new I-129 petition before your first day. Gaps in employment between petitions can complicate portability eligibility, so timing matters.
What is the prevailing wage requirement for sponsored AI ML Engineer jobs?
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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