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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4224 Ridge Lea Road, Amherst New York
Job Summary
The Director, Quantitative Analysis leads a high-performing team responsible for developing, validating, and governing quantitative models and analytics that inform risk management, finance, and compliance decisions. This role sets the strategy and execution roadmap for model development, testing, and monitoring across areas such as credit risk, capital and balance sheet management, forecasting, and fair and responsible banking. The leader partners with stakeholders across Finance, Risk, Model Risk Management, Technology, Audit, and Compliance, ensuring high-quality, "executive-ready" deliverables and strong alignment with regulatory expectations and internal standards.
Essential Functions
- Lead the end-to-end lifecycle of quantitative models (design, development, validation, implementation, monitoring) aligned to enterprise standards and regulatory expectations.
- Oversee compliance testing and analytics for fair and responsible banking (e.g., fair lending, UDAAP, CRA) using sound statistical methodologies.
- Establish and maintain modeling standards, documentation, controls, and governance practices in partnership with risk partners.
- Build, coach, and develop a team of quantitative analysts; set priorities and ensure timely, high-quality outputs.
- Provide strategic consultation and thought leadership to senior leaders; translate complex analytics into clear, actionable insights.
- Drive process improvements, identify control gaps, and implement efficiencies across modeling and analytics workflows.
- Coordinate responses to audits, exams, and internal reviews; serve as a subject matter expert to internal stakeholders and external parties.
- Monitor emerging techniques, tools, and industry trends (e.g., machine learning/AI); assess applicability and integrate where appropriate.
- Promote collaboration across Finance, Risk, and Compliance; influence cross-functional policies and decision-making.
- Manage special projects and deliver under compressed timelines while maintaining quality and rigor.
- Performs other duties as assigned; duties, responsibilities and/or activities may change or new ones may be assigned at any time with or without notice.
- Complies with all KeyBank policies and procedures, including without limitation, acting professionally at all times, conducting business ethically, avoiding conflicts of interest, and acting in the best interests of Key’s clients and Key.
Education
- Bachelor's Degree
- Master's Degree or Doctorate in quantitative field (e.g., statistics, economics, finance, mathematics, engineering, physics) (preferred)
- OR equivalent experience (required)
Work Experience
- 10+ years of experience in quantitative modeling and analytics within financial services or a comparable regulated industry.
- Demonstrated experience with regression, forecasting, and risk/finance models; familiarity with fair banking analytics and regulatory expectations.
- Proven track record delivering executive-ready insights and leading projects under tight timelines.
Skills
- Design, test, and monitor models using sound quantitative methods.
- Build, automate, and analyze datasets and model workflows.
- Communicate complex findings clearly to diverse audiences.
- Apply model risk standards for documentation, controls, and independent review.
- Understand the bank regulations and the regulatory environment.
- Translate analytics into actionable recommendations for senior leaders.
- Recruit, coach, and retain top quantitative talent.
- Prioritize, plan, and deliver high-impact initiatives on time.
- Build credibility and trust across Finance, Risk, Compliance, Technology, and other areas.
- Identify issues early and implement practical solutions.
- Streamline workflows and enhance efficiency and control strength.
Core Competencies
All KeyBank employees are expected to demonstrate Key’s Values and sustain proficiency in identified Leadership Competencies.
Physical Demands
General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequent use of PC/laptop, occasional lifting/pushing/pulling of backpacks, computer bags up to 10 lbs.
Travel
Occasional travel to include overnight stay.
Driving Requirements
Ability to occasionally operate a motor vehicle with a valid driver's license.
Work Location Category
Hybrid (3+ days)
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $128,000.00 - $268,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 04/22/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
Location:
4224 Ridge Lea Road, Amherst New York
Job Summary
The Director, Quantitative Analysis leads a high-performing team responsible for developing, validating, and governing quantitative models and analytics that inform risk management, finance, and compliance decisions. This role sets the strategy and execution roadmap for model development, testing, and monitoring across areas such as credit risk, capital and balance sheet management, forecasting, and fair and responsible banking. The leader partners with stakeholders across Finance, Risk, Model Risk Management, Technology, Audit, and Compliance, ensuring high-quality, "executive-ready" deliverables and strong alignment with regulatory expectations and internal standards.
Essential Functions
- Lead the end-to-end lifecycle of quantitative models (design, development, validation, implementation, monitoring) aligned to enterprise standards and regulatory expectations.
- Oversee compliance testing and analytics for fair and responsible banking (e.g., fair lending, UDAAP, CRA) using sound statistical methodologies.
- Establish and maintain modeling standards, documentation, controls, and governance practices in partnership with risk partners.
- Build, coach, and develop a team of quantitative analysts; set priorities and ensure timely, high-quality outputs.
- Provide strategic consultation and thought leadership to senior leaders; translate complex analytics into clear, actionable insights.
- Drive process improvements, identify control gaps, and implement efficiencies across modeling and analytics workflows.
- Coordinate responses to audits, exams, and internal reviews; serve as a subject matter expert to internal stakeholders and external parties.
- Monitor emerging techniques, tools, and industry trends (e.g., machine learning/AI); assess applicability and integrate where appropriate.
- Promote collaboration across Finance, Risk, and Compliance; influence cross-functional policies and decision-making.
- Manage special projects and deliver under compressed timelines while maintaining quality and rigor.
- Performs other duties as assigned; duties, responsibilities and/or activities may change or new ones may be assigned at any time with or without notice.
- Complies with all KeyBank policies and procedures, including without limitation, acting professionally at all times, conducting business ethically, avoiding conflicts of interest, and acting in the best interests of Key’s clients and Key.
Education
- Bachelor's Degree
- Master's Degree or Doctorate in quantitative field (e.g., statistics, economics, finance, mathematics, engineering, physics) (preferred)
- OR equivalent experience (required)
Work Experience
- 10+ years of experience in quantitative modeling and analytics within financial services or a comparable regulated industry.
- Demonstrated experience with regression, forecasting, and risk/finance models; familiarity with fair banking analytics and regulatory expectations.
- Proven track record delivering executive-ready insights and leading projects under tight timelines.
Skills
- Design, test, and monitor models using sound quantitative methods.
- Build, automate, and analyze datasets and model workflows.
- Communicate complex findings clearly to diverse audiences.
- Apply model risk standards for documentation, controls, and independent review.
- Understand the bank regulations and the regulatory environment.
- Translate analytics into actionable recommendations for senior leaders.
- Recruit, coach, and retain top quantitative talent.
- Prioritize, plan, and deliver high-impact initiatives on time.
- Build credibility and trust across Finance, Risk, Compliance, Technology, and other areas.
- Identify issues early and implement practical solutions.
- Streamline workflows and enhance efficiency and control strength.
Core Competencies
All KeyBank employees are expected to demonstrate Key’s Values and sustain proficiency in identified Leadership Competencies.
Physical Demands
General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequent use of PC/laptop, occasional lifting/pushing/pulling of backpacks, computer bags up to 10 lbs.
Travel
Occasional travel to include overnight stay.
Driving Requirements
Ability to occasionally operate a motor vehicle with a valid driver's license.
Work Location Category
Hybrid (3+ days)
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $128,000.00 - $268,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 04/22/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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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.
See which AI ML Engineer employers are hiring and sponsoring visas right now.
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