Machine Learning Research Jobs in USA with Visa Sponsorship
Machine learning research roles attract strong H-1B visa sponsorship from tech companies, national labs, and AI-focused startups. Most positions require a master's or PhD in computer science or a related field, and employers regularly sponsor both H-1B and O-1A visas for qualified researchers. For detailed occupation requirements, see the O*NET profile.
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Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models. As an Applied AI ML Researcher Director in the Applied AI Research team, you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.
Job Responsibilities
- Architect and develop GenAI and agentic solutions to automate complex operational processes
- Assist Lines of Business and teams to directly solve priority use cases within the domain
- Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
- Design and build services and libraries that AI teams want to use
- Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
- Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability
- Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale solutions and maximize impact
Required Qualifications, Capabilities, And Skills
- PhD in Computer Science or a related quantitative discipline with 8+ years of relevant experience or MS in Computer Science or a related field with 12+ years of relevant experience
- Research experience or work in a top commercial AI research lab
- Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
- Proven track record of deploying AI/ML applications in a production environment at scale
- Familiarity with distributed computing patterns for training, serving, and persistence of state
- Experience integrating user feedback to establish agentic refinement and self-improving AI applications
- Experience in building and leading high-performing AI teams
Preferred Qualifications, Capabilities, And Skills
- Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required
FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Job Description
Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models. As an Applied AI ML Researcher Director in the Applied AI Research team, you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.
Job Responsibilities
- Architect and develop GenAI and agentic solutions to automate complex operational processes
- Assist Lines of Business and teams to directly solve priority use cases within the domain
- Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
- Design and build services and libraries that AI teams want to use
- Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
- Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability
- Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale solutions and maximize impact
Required Qualifications, Capabilities, And Skills
- PhD in Computer Science or a related quantitative discipline with 8+ years of relevant experience or MS in Computer Science or a related field with 12+ years of relevant experience
- Research experience or work in a top commercial AI research lab
- Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
- Proven track record of deploying AI/ML applications in a production environment at scale
- Familiarity with distributed computing patterns for training, serving, and persistence of state
- Experience integrating user feedback to establish agentic refinement and self-improving AI applications
- Experience in building and leading high-performing AI teams
Preferred Qualifications, Capabilities, And Skills
- Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required
FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See all 440+ Machine Learning Research Jobs
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Get Access To All JobsTips for Finding Machine Learning Research Jobs
Target employers with a research division, not just an ML team
Companies like Google DeepMind, Microsoft Research, and Meta FAIR file LCAs specifically for research scientist roles. These divisions have established sponsorship pipelines and dedicated immigration counsel, making the process faster and more predictable than smaller engineering teams.
A PhD significantly strengthens your H-1B specialty occupation case
USCIS scrutinizes whether machine learning research qualifies as a specialty occupation. A doctoral degree in computer science, statistics, or a related field removes most of that ambiguity and supports a cleaner petition, especially for research-focused roles without a product deliverable.
Published research and citations are O-1A evidence, not just resume polish
If you have peer-reviewed publications, conference presentations at NeurIPS or ICML, or high citation counts, document them carefully. These directly support O-1A criteria for original contributions and judging, giving you an alternative if H-1B lottery selection doesn't go your way.
National labs and universities sponsor without the H-1B lottery
Institutions like MIT Lincoln Laboratory, Argonne National Laboratory, and most research universities are cap-exempt H-1B employers. That means no lottery wait and year-round filing, which matters if you're on OPT with a ticking clock or between visa statuses.
Clarify whether the role is research or applied engineering before applying
Employers sometimes list "machine learning research" roles that are effectively product engineering positions. The distinction matters for visa framing. A role requiring original research and publication supports a stronger petition than one focused primarily on model deployment and infrastructure.
OPT STEM extension gives you 36 months to secure H-1B sponsorship
Machine learning research falls under CIP codes eligible for the 24-month STEM OPT extension. Combined with initial OPT, that's up to 36 months of work authorization, giving you three H-1B lottery cycles to find a sponsoring employer before needing another visa pathway.
Frequently Asked Questions
Do machine learning research roles commonly get H-1B sponsorship?
Yes. Machine learning research is among the most actively sponsored role categories in the H-1B visa program. Tech companies, AI startups, and research institutions file thousands of LCAs annually for these positions. The role's clear degree requirement in computer science, statistics, or a related field satisfies USCIS specialty occupation standards reliably, making denials on that basis relatively uncommon for genuine research positions. Browse open roles on Migrate Mate to find employers with active sponsorship histories.
Does my degree field need to match machine learning research specifically?
Not exactly, but it needs to be directly related. A bachelor's or advanced degree in computer science, electrical engineering, statistics, applied mathematics, or data science typically satisfies the H-1B specialty occupation requirement for ML research roles. A degree in an unrelated field, even with significant self-taught ML skills, creates petition risk. USCIS looks for a direct relationship between the field of study and the duties of the role.
Is the O-1A visa a realistic option for machine learning researchers?
For researchers with a strong publication record, it can be. The O-1A requires evidence of extraordinary ability, which for ML researchers typically means peer-reviewed publications at top venues like NeurIPS, ICML, or ICLR, high citation counts, peer review service, or awards in the field. Meeting three of the eight O-1A criteria is the threshold. Researchers early in their career may not yet meet it, but mid-career researchers with a meaningful publication history often do.
What happens to my visa sponsorship if my research project ends or the company pivots?
Your H-1B status is tied to your employer, not your project. If the company terminates your role, your employer is legally required to pay for your return transportation home, and you enter a 60-day grace period to find a new sponsor, change status, or depart. If you move to a new employer, they must file an H-1B transfer petition, which allows you to start work upon receipt. Keeping your job search proactive before any project ends reduces the risk of a gap.
Can I switch from a research role to an applied ML engineering role on the same H-1B?
Only if the new role is within the same specialty occupation category and the material change rules are followed. A significant change in job duties, location, or employer requires an amended H-1B petition before you make the switch. Moving from pure research to product-focused ML engineering may or may not constitute a material change depending on how different the duties are. Your employer's immigration counsel should evaluate the specific role change before you transition.
What is the prevailing wage requirement for sponsored Machine Learning Research 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.