H-1B Visa AI ML Engineer Jobs
AI ML Engineer roles qualify as H-1B specialty occupations under the computer occupations category, requiring at least a bachelor's degree in computer science, data science, or a related field. Employers filing H-1B petitions for these roles must certify a prevailing wage through the DOL before USCIS adjudicates the petition.
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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 4,136+ 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 H-1B Visa Sponsorship as an AI ML Engineer
Align your degree to the role
USCIS scrutinizes whether your degree field directly relates to AI or ML engineering. A computer science or data science degree maps cleanly. If yours is adjacent, prepare documentation showing relevant coursework, projects, or transcripts before applying.
Target employers with active LCA filings
Search DOL Labor Condition Application disclosure data for employers who have recently certified LCAs under SOC code 15-2051 (Data Scientists) or 15-1252 (Software Developers). Recent filings confirm the employer has filed for this role type before.
Use Migrate Mate to filter by sponsorship history
Pull up AI ML Engineer roles on Migrate Mate and filter by verified H-1B filing history. That narrows your list to employers who have already navigated the LCA and petition process for this occupation, not just those who say they're open to sponsorship.
Clarify the SOC code before the LCA is filed
Ask your recruiting contact which SOC code the employer intends to use on the LCA. Mismatches between your job duties and the filed SOC code are a common RFE trigger. Getting this right before filing avoids delays after your start date is set.
Request premium processing if your start date is fixed
USCIS offers premium processing on I-129 petitions, reducing adjudication to 15 business days. If your offer has a specific start date tied to a project or team onboarding cycle, ask the employer to include premium processing in the petition from the outset.
Verify the prevailing wage level before negotiating
Run your job title and work location through the OFLC Wage Search to see the Level I through Level IV prevailing wages. Employers must certify at least the applicable level. Knowing the floor prevents you from negotiating into a wage the employer can't legally certify.
AI ML Engineer jobs are hiring across the US. Find yours.
Find AI ML Engineer JobsAI ML Engineer H-1B Visa: Frequently Asked Questions
Does an AI ML Engineer role qualify as an H-1B specialty occupation?
Yes. AI ML Engineer positions fall under computer and information technology occupations, which USCIS consistently recognizes as specialty occupations requiring at least a bachelor's degree in a directly related field such as computer science, data science, statistics, or electrical engineering. Roles combining model development, applied research, or production ML systems have a strong track record of approval when the employer documents the degree requirement in the Labor Condition Application and petition.
Which employers sponsor H-1B visas for AI ML Engineer roles?
Technology companies, financial services firms, healthcare systems, and large enterprises with dedicated data or AI teams are consistent H-1B sponsors for this role. The most reliable way to identify them is through DOL Labor Condition Application disclosure data, which shows actual filings by employer and occupation. Migrate Mate surfaces this data directly so you can browse verified AI ML Engineer roles at employers with confirmed H-1B filing history.
What documents should I prepare before an employer starts the H-1B filing process?
You'll need official degree transcripts, your diploma or degree certificate, and a current resume with detailed job duties. If your degree is from outside the United States, a credential evaluation from a NACES-member organization is typically required. USCIS may also ask for evidence linking your degree field to AI or ML specifically, so gather course descriptions or a letter from your academic institution explaining the curriculum's relevance to the role.
Can I switch AI ML Engineer jobs while on H-1B status?
Yes, under AC21 portability rules, you can change employers after your I-140 has been approved for 180 days and the new role is in the same or a similar occupational classification. For employer changes before that threshold, the new employer must file a new H-1B petition before you start work. Because portability rules hinge on SOC code alignment, confirm that your new AI ML Engineer role maps to the same occupation code as your original petition.
How does the H-1B lottery affect AI ML Engineer job seekers?
The annual H-1B cap covers 65,000 regular-cap slots plus 20,000 reserved for U.S. master's degree holders. If you hold a master's in computer science, data science, or a related field from a U.S. institution, you're eligible for both pools, increasing your selection odds. Cap-exempt employers, including universities and certain nonprofit research organizations, can file outside the lottery entirely, which is worth factoring into your employer targeting strategy.
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