AI Researcher Jobs in USA with Visa Sponsorship
AI Researcher roles are among the most actively sponsored positions in the U.S. right now. Most employers file H-1B visa petitions for this role, and many qualify for cap-exempt filing through universities and nonprofit research labs. A master's or PhD in computer science, machine learning, or a related field is standard. For detailed occupation requirements, see the O*NET profile.
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We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch
- Reinvent yourself: At Bosch, you will evolve.
- Discover new directions: At Bosch, you will find your place.
- Balance your life: At Bosch, your job matches your lifestyle.
- Celebrate success: At Bosch, we celebrate you.
- Be yourself: At Bosch, we value values.
- Shape tomorrow: At Bosch, you change lives.
Job Description
As the Multi-modal Sensing AI Research Intern, a few of your key responsibilities will include:
- Develop state-of-the-art multi-modal models for active (radar, ultrasound) and passive sensing (acoustic, vibration, EEG) use-cases using combination of classical signal processing and machine/deep learning-based approaches.
- Research and develop solutions for multi-modal representation learning and modality adaptation with paired / unpaired sensor data.
- Collaborate with other researchers to evaluate the developed model on downstream applications.
- Summarize research findings in high-quality paper and/or patent submissions.
MINIMUM QUALIFICATIONS:
- Currently enrolled as PhD student in Computer Science, Electrical Engineering, or related fields.
- 2+ years programming experience, proficiency in PyTorch (Lightning), HuggingFace (transformers), hydra.
- Broad knowledge of machine- and deep-learning algorithms and principles and state-of-the-art methods.
- Minimum GPA of 3.0
PREFERRED QUALIFICATIONS:
- Experience using raw sensor data (eg. Radar, ultrasound, acoustic etc.) in machine learning projects.
- Knowledge of digital signal processing principle and methods, multimodal representation learning.
- Publication record in top machine learning and signal processing venues.
- Experience with HPC platforms and job managers (Slurm, IBM LSF).
Additional Information
Equal Opportunity Employer, including disability / veterans
Company Description
We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch
- Reinvent yourself: At Bosch, you will evolve.
- Discover new directions: At Bosch, you will find your place.
- Balance your life: At Bosch, your job matches your lifestyle.
- Celebrate success: At Bosch, we celebrate you.
- Be yourself: At Bosch, we value values.
- Shape tomorrow: At Bosch, you change lives.
Job Description
As the Multi-modal Sensing AI Research Intern, a few of your key responsibilities will include:
- Develop state-of-the-art multi-modal models for active (radar, ultrasound) and passive sensing (acoustic, vibration, EEG) use-cases using combination of classical signal processing and machine/deep learning-based approaches.
- Research and develop solutions for multi-modal representation learning and modality adaptation with paired / unpaired sensor data.
- Collaborate with other researchers to evaluate the developed model on downstream applications.
- Summarize research findings in high-quality paper and/or patent submissions.
MINIMUM QUALIFICATIONS:
- Currently enrolled as PhD student in Computer Science, Electrical Engineering, or related fields.
- 2+ years programming experience, proficiency in PyTorch (Lightning), HuggingFace (transformers), hydra.
- Broad knowledge of machine- and deep-learning algorithms and principles and state-of-the-art methods.
- Minimum GPA of 3.0
PREFERRED QUALIFICATIONS:
- Experience using raw sensor data (eg. Radar, ultrasound, acoustic etc.) in machine learning projects.
- Knowledge of digital signal processing principle and methods, multimodal representation learning.
- Publication record in top machine learning and signal processing venues.
- Experience with HPC platforms and job managers (Slurm, IBM LSF).
Additional Information
Equal Opportunity Employer, including disability / veterans
See all 18,161+ 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 JobsTips for Finding AI Researcher Jobs
Target cap-exempt employers first
Universities, nonprofit research institutes, and government-affiliated labs can sponsor H-1B visas outside the annual lottery. For AI Researchers, this dramatically increases your odds of getting sponsored without waiting for a cap-subject slot.
Lead with publications and benchmarks
Employers evaluating AI Researchers want evidence of impact. Citing published papers, open-source contributions, or model performance benchmarks gives hiring managers and immigration attorneys concrete proof your role meets specialty occupation standards.
A PhD opens O-1A doors
AI Researchers with peer-reviewed publications, conference presentations, or awards may qualify for the O-1A extraordinary ability visa. It has no lottery, no annual cap, and is increasingly common for senior researchers at frontier AI labs.
Clarify your research scope early in interviews
Employers sometimes conflate AI Researchers with ML Engineers or Data Scientists, which affects how they structure sponsorship. Be specific about whether your role is research-focused to ensure the petition is filed under the right classification.
Degree field alignment matters for H-1B approval
USCIS requires your degree to directly relate to the research specialization. A PhD in physics applying to a natural language processing role may face scrutiny. Framing your coursework and thesis in terms of the job's technical requirements strengthens the petition.
EB-1A and NIW are realistic long-term paths
AI Researchers are well-positioned for EB-1A extraordinary ability or EB-2 National Interest Waiver green cards. Published research, citation counts, and national security or scientific impact arguments carry significant weight with USCIS adjudicators for both categories.
Frequently Asked Questions
Do AI Researcher roles typically qualify as H-1B specialty occupations?
Yes. AI Researcher positions almost universally qualify as specialty occupations because they require at minimum a bachelor's degree, and in practice a master's or PhD, in computer science, machine learning, statistics, or a closely related field. USCIS has a strong approval record for this role when the job description is research-specific and the degree field aligns with the work.
Can I get sponsored as an AI Researcher without going through the H-1B lottery?
Yes, through two main paths. First, cap-exempt employers, including universities, nonprofit research labs, and certain government-affiliated institutions, can file H-1B visa petitions year-round outside the lottery. Second, AI Researchers with strong publication records may qualify for the O-1A visa, which has no lottery or annual cap. Browse current openings on Migrate Mate to filter for employers with a track record of cap-exempt or O-1A sponsorship.
Does my degree need to be in AI or machine learning specifically?
Not necessarily, but it needs to be directly relevant to the research role. Computer science, statistics, mathematics, cognitive science, and electrical engineering are all accepted. Where applicants run into trouble is when the degree is in an unrelated field and the connection to AI research isn't clearly documented. USCIS looks at coursework, thesis topics, and specializations, not just the degree title.
What visa options are available for senior AI Researchers beyond the H-1B?
Senior AI Researchers have several strong options. The O-1A visa suits those with published papers, speaking invitations, awards, or high citation counts. The EB-1A immigrant visa (extraordinary ability) and EB-2 National Interest Waiver both work well for researchers whose work has demonstrated scientific or national significance. Both green card categories allow self-petition without an employer sponsor, which is a meaningful advantage.
How do employers typically assess whether to sponsor an AI Researcher?
Most employers look at three things: research output (publications, conference presentations, open-source contributions), technical specialization (the more narrowly defined, the easier the H-1B justification), and long-term retention potential. Frontier AI companies and academic institutions are generally more experienced with sponsorship and more willing to absorb the cost. Startups may require more upfront conversation about the process.
What is the prevailing wage requirement for sponsored AI Researcher 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.