H-1B Visa AI Researcher Jobs
AI Researcher roles qualify as H-1B visa specialty occupations under the computer and mathematical sciences category, typically requiring at least a master's degree or equivalent in machine learning, computer science, or a related field. Most sponsoring employers file in the annual April lottery, so timing your job search to land an offer by February or March is critical.
Find H-1B Visa AI Researcher JobsOverview
Showing 5 of 1,327+ AI Researcher jobs
See all 1,327+ AI Researcher Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Researcher roles.
Get Access To All JobsINTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
ROLE AND RESPONSIBILITIES
We are looking for an outstanding Senior Agentic AI Applied Researcher to build groundbreaking multi-modal agentic AI solutions for data science and machine learning. As a member of the team, you will develop new agentic AI solutions to automate part or all of data science pipelines, including data elicitation, data curation, iterative experimentation, workflows for model training and evaluation, diagnostics, and ablation studies. You will apply this to various enterprise data science projects as well as machine learning competitions. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.
What you’ll be doing:
- Collaborate with software and solutions teams to identify high-impact opportunities for applying agentic AI technologies.
- Lead the design, development, and optimization of agentic AI solutions that address challenges in data science and machine learning workflows.
- Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.
BASIC QUALIFICATIONS
- Bachelor's degree in computer science, electrical engineering, or related field (or equivalent experience); MS or PhD preferred.
- 5+ years of industry or academia experience with AI data science systems development; exposure to fine tuning models, reinforcement learning, agents, or orchestration frameworks; hands-on experience with deep learning frameworks and inference stacks.
- Proficiency in Python and at least one of Pytorch or JAX/TensorFlow.
- Experience in using coding agents like claude code, codex, cursor, to develop and maintain advanced codebases.
- Experience developing agentic or automated systems that communicate with external storage and reporting tools.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Familiarity with safety, guardrails, and policy enforcement for autonomous systems.
- Deep expertise in building, training, and fine-tuning models.
- Experience designing, executing, and analyzing autonomous AI systems for data science and machine learning applications.
- Open-source leadership in agentic AI systems for data science.
- Good results on machine learning competitions and on machine learning benchmarks.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 7, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
ROLE AND RESPONSIBILITIES
We are looking for an outstanding Senior Agentic AI Applied Researcher to build groundbreaking multi-modal agentic AI solutions for data science and machine learning. As a member of the team, you will develop new agentic AI solutions to automate part or all of data science pipelines, including data elicitation, data curation, iterative experimentation, workflows for model training and evaluation, diagnostics, and ablation studies. You will apply this to various enterprise data science projects as well as machine learning competitions. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.
What you’ll be doing:
- Collaborate with software and solutions teams to identify high-impact opportunities for applying agentic AI technologies.
- Lead the design, development, and optimization of agentic AI solutions that address challenges in data science and machine learning workflows.
- Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.
BASIC QUALIFICATIONS
- Bachelor's degree in computer science, electrical engineering, or related field (or equivalent experience); MS or PhD preferred.
- 5+ years of industry or academia experience with AI data science systems development; exposure to fine tuning models, reinforcement learning, agents, or orchestration frameworks; hands-on experience with deep learning frameworks and inference stacks.
- Proficiency in Python and at least one of Pytorch or JAX/TensorFlow.
- Experience in using coding agents like claude code, codex, cursor, to develop and maintain advanced codebases.
- Experience developing agentic or automated systems that communicate with external storage and reporting tools.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Familiarity with safety, guardrails, and policy enforcement for autonomous systems.
- Deep expertise in building, training, and fine-tuning models.
- Experience designing, executing, and analyzing autonomous AI systems for data science and machine learning applications.
- Open-source leadership in agentic AI systems for data science.
- Good results on machine learning competitions and on machine learning benchmarks.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 7, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
See all 1,327+ H-1B Visa AI Researcher Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI Researcher Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in AI Researcher
Align your degree to the SOC code
USCIS evaluates specialty occupation by matching your degree field to the role's Standard Occupational Classification code. For AI Researcher positions, a degree in computer science, statistics, or a directly related field strengthens the petition and reduces RFE risk.
Search LCA filings before applying
Employers must file a Labor Condition Application with DOL before sponsoring you. Use Migrate Mate to filter AI Researcher roles by verified LCA filing history, so you're only targeting companies that have already committed to the sponsorship process.
Verify the prevailing wage tier before negotiating
Your offered salary must meet the DOL prevailing wage for your role and location. Use the OFLC Wage Search to check the Level I through Level IV wage for AI Researcher positions in your target metro before entering any salary discussion.
Confirm the employer files cap-subject petitions
Universities, nonprofit research organizations, and government research entities are cap-exempt, meaning they can sponsor you outside the April lottery. If you're targeting industry labs, confirm the employer files cap-subject H-1B petitions and has done so recently.
Request premium processing if your start date is fixed
USCIS offers premium processing for H-1B petitions, with a decision guaranteed within 15 business days. If your research role has a hard start date tied to a grant cycle or product launch, ask your employer to elect premium processing to avoid a status gap.
Document publications and patents before the petition
USCIS officers increasingly scrutinize AI Researcher petitions by reviewing whether the role requires theoretical and applied research skills. Compile your publications, conference presentations, and any patent filings now. They won't appear in the petition directly but prepare you to respond to an RFE quickly.
H-1B Visa AI Researcher: Frequently Asked Questions
Does an AI Researcher role qualify as an H-1B specialty occupation?
Yes. AI Researcher positions fall under computer and mathematical occupations in the DOL classification system and routinely satisfy the H-1B specialty occupation standard. USCIS requires that the role normally requires at least a bachelor's degree in a specific, directly related field. A degree in computer science, machine learning, statistics, or a closely related discipline typically meets this standard, though USCIS may issue an RFE if the job description is broad enough to accept unrelated degrees.
Which employers sponsor H-1B visas for AI Researchers?
Both large technology companies and university research labs sponsor AI Researcher H-1B petitions regularly. Universities and affiliated nonprofit research institutions are cap-exempt, which means they can file year-round rather than waiting for the April lottery. Industry employers, including cloud platforms and AI-focused product companies, are cap-subject and must enter the lottery. Browse Migrate Mate to see which employers have active LCA filings for AI Researcher and related research roles.
How does the H-1B lottery affect my timeline as an AI Researcher?
Cap-subject H-1B petitions can only be filed in April for an October 1 start date, following a March registration window. If you're not selected, you must wait until the next lottery cycle unless your employer qualifies as cap-exempt. AI Researchers at universities or government-funded research centers can bypass the lottery entirely. Plan your job search so you have a signed offer and completed LCA by late March to be included in that year's filing.
What documentation should I prepare for an AI Researcher H-1B petition?
Your employer's immigration attorney will build the petition, but you'll need to provide educational transcripts and degree certificates, a detailed description of your research responsibilities, and evidence that the role requires a degree in a specific field. If your degree is from outside the U.S., a credential evaluation is required. Publications, patents, or conference proceedings aren't filed with the petition but can be critical supporting evidence if USCIS issues an RFE questioning whether the position is a specialty occupation.
Can I switch employers mid-project on an H-1B as an AI Researcher?
Yes. H-1B portability under AC21 lets you change employers after your petition has been pending for at least 180 days, as long as the new role is in the same or a similar occupational classification. For AI Researchers, moving between research labs or from a research role to an applied research engineering position typically qualifies. Your new employer must file an H-1B transfer petition before your last day with the current employer to maintain continuous work authorization.