J-1 Visa Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist roles in the U.S. typically qualify for J-1 visa sponsorship under the Research Scholar or Specialist category, issued by a State Department-designated sponsor organization. Host employers range from university AI labs to federal research institutes. Exchange visitors in this field have no cap or lottery to navigate, but the two-year home residency requirement applies to many participants.
Find J-1 Visa Artificial Intelligence Scientist JobsOverview
Showing 5 of 16+ Artificial Intelligence Scientist jobs
See all Artificial Intelligence Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Artificial Intelligence Scientist roles.
Get Access To All JobsLocation:
San Jose
Team:
Technology
Employment Type:
Intern
Job Code:
A112542A
Team Introduction:
The EE Platform team focuses on silicon and EE architecture for AR/VR platforms to optimize the system power, latency and performance. The team innovates on customized silicon solutions for imaging, display and connectivity with HW/SW co-optimization.
Topic Content:
The rapid advancement of AI Agents is set to have a far-reaching and transformative impact on daily life. As the hardware bridge linking AI Agents to the physical world and end users, intelligent hardware acts as a vital gateway for agents to perceive their environment and recognize user intent. Enabling AI Agents to maintain round-the-clock environmental awareness and efficiently capture real-time user intentions is essential to improving their everyday service experience. This topic seeks to overcome the limitations of conventional visual perception systems. By deeply integrating sensing and computing, it explores full-stack innovation spanning from low-level hardware to high-level algorithms. Key efforts include developing next-generation sensors with real-time understanding capabilities, investigating non-traditional visual capture and compression techniques, and designing novel hardware architectures to run advanced algorithms—enabling highly efficient coordination across sensing, processing, and communication.
Topic Challenge:
Break free from the framework of conventional sensing systems, explore novel sensors, signal processing and compression schemes to achieve highly energy-efficient sensing tasks, while enabling seamless integration with large models.
Topic Value:
Breakthroughs in this research direction will enable intelligent hardware to better connect AI, users, and daily life. Against the backdrop of the AI Agent era, this will unlock the gateway to the next generation of intelligent hardware terminals and open up broader technological possibilities.
We are looking for talented individuals to join us for an internship in 2026. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Innovate and develop a power-efficient, low-latency, highly-intelligent all-day machine perception vision system.
- Develop necessary training, data collection/generation pipeline along with state of art ML algorithm/framework for understanding of the scene and user behaviors.
- Map the cutting edge ML algorithm to the HW accelerator, identify performance bottleneck, optimize performance and efficiency, propose more efficient HW/SW co-design for AI accelerator.
- Collaborate with the x-functions team and translate system requirements into a proper cloud-edge workload partition and edge ML accelerator HW/SW requirement.
- Perform quantitative evaluations through the use of system modeling and influence sensor, soc and software co-design.
Qualifications
Minimum Qualifications
- Currently Pursuing PhD in the fields of Electrical Engineering, Computer Science, Physics and related technical discipline.
- Experience in research in the fields of computer vision, edge ML perception algorithm and/or related AI accelerator design.
- Experience with programming tools and languages such as C/C++, MATLAB, Python.
Preferred Qualifications
- Familiar with appropriate ML frameworks and model deployment.
- Familiar with image sensor and isp.
- Good track record on top-tier conference or journal publication.
Job Information
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $60 - $60.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
About Pico
Founded in April 2015, Pico is a VR company committed to developing immersive and interactive VR experiences for people around the world. Pico also provides tailor-made solutions for our enterprise clients in the fields of education and healthcare.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
Location:
San Jose
Team:
Technology
Employment Type:
Intern
Job Code:
A112542A
Team Introduction:
The EE Platform team focuses on silicon and EE architecture for AR/VR platforms to optimize the system power, latency and performance. The team innovates on customized silicon solutions for imaging, display and connectivity with HW/SW co-optimization.
Topic Content:
The rapid advancement of AI Agents is set to have a far-reaching and transformative impact on daily life. As the hardware bridge linking AI Agents to the physical world and end users, intelligent hardware acts as a vital gateway for agents to perceive their environment and recognize user intent. Enabling AI Agents to maintain round-the-clock environmental awareness and efficiently capture real-time user intentions is essential to improving their everyday service experience. This topic seeks to overcome the limitations of conventional visual perception systems. By deeply integrating sensing and computing, it explores full-stack innovation spanning from low-level hardware to high-level algorithms. Key efforts include developing next-generation sensors with real-time understanding capabilities, investigating non-traditional visual capture and compression techniques, and designing novel hardware architectures to run advanced algorithms—enabling highly efficient coordination across sensing, processing, and communication.
Topic Challenge:
Break free from the framework of conventional sensing systems, explore novel sensors, signal processing and compression schemes to achieve highly energy-efficient sensing tasks, while enabling seamless integration with large models.
Topic Value:
Breakthroughs in this research direction will enable intelligent hardware to better connect AI, users, and daily life. Against the backdrop of the AI Agent era, this will unlock the gateway to the next generation of intelligent hardware terminals and open up broader technological possibilities.
We are looking for talented individuals to join us for an internship in 2026. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Innovate and develop a power-efficient, low-latency, highly-intelligent all-day machine perception vision system.
- Develop necessary training, data collection/generation pipeline along with state of art ML algorithm/framework for understanding of the scene and user behaviors.
- Map the cutting edge ML algorithm to the HW accelerator, identify performance bottleneck, optimize performance and efficiency, propose more efficient HW/SW co-design for AI accelerator.
- Collaborate with the x-functions team and translate system requirements into a proper cloud-edge workload partition and edge ML accelerator HW/SW requirement.
- Perform quantitative evaluations through the use of system modeling and influence sensor, soc and software co-design.
Qualifications
Minimum Qualifications
- Currently Pursuing PhD in the fields of Electrical Engineering, Computer Science, Physics and related technical discipline.
- Experience in research in the fields of computer vision, edge ML perception algorithm and/or related AI accelerator design.
- Experience with programming tools and languages such as C/C++, MATLAB, Python.
Preferred Qualifications
- Familiar with appropriate ML frameworks and model deployment.
- Familiar with image sensor and isp.
- Good track record on top-tier conference or journal publication.
Job Information
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $60 - $60.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
About Pico
Founded in April 2015, Pico is a VR company committed to developing immersive and interactive VR experiences for people around the world. Pico also provides tailor-made solutions for our enterprise clients in the fields of education and healthcare.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
See all J-1 Visa Artificial Intelligence Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Artificial Intelligence Scientist Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an Artificial Intelligence Scientist
Confirm your J-1 category before applying
Research Scholar fits those with a graduate degree pursuing independent research. Specialist applies to experts in a field requiring advanced knowledge. Applying under the wrong category can delay or void your DS-2019, so verify which fits your credentials before contacting host institutions.
Build a research profile that satisfies sponsors
State Department-designated sponsors like IIE or Cultural Vistas evaluate your publication record, institutional affiliations, and research plan before issuing a DS-2019. Peer-reviewed AI publications and a clear, project-specific training plan strengthen your case significantly.
Target host employers with existing J-1 infrastructure
Universities, national laboratories, and federally funded AI research centers already have relationships with designated sponsors and understand DS-2019 timelines. Use Migrate Mate to filter for these types of employers when searching for Artificial Intelligence Scientist roles with J-1 compatibility.
Address the two-year home residency requirement early
Many AI Scientist participants on J-1 visas are subject to the two-year home-country physical presence requirement, especially if funded by a government or international organization. A waiver through the No Objection Statement route or a hardship waiver takes months to process, so raise this with your sponsor before accepting an offer.
Align your DS-2019 training plan to specific AI deliverables
Sponsors require a structured training plan signed by your host employer. For AI research roles, list specific methodologies, datasets, model types, and lab collaborations you'll work on. Vague plans citing only broad areas like 'machine learning research' are frequently sent back for revision.
Track your J-1 status end date through SEVIS
Your authorized stay is tied to the program end date on your DS-2019, not a fixed visa validity period. SEVIS records control your legal status, and your designated sponsor must authorize any program extension before that date passes. A 30-day grace period follows program completion.
Artificial Intelligence Scientist J-1 Visa: Frequently Asked Questions
Which J-1 program category applies to Artificial Intelligence Scientist roles?
Research Scholar is the most common category for AI Scientists conducting independent research at a U.S. university or research institute. Specialist applies if you're an established expert in a narrowly defined AI subfield. Intern or Trainee categories fit students or early-career professionals, but those require enrollment or recent graduation and are subject to shorter program durations.
Who actually sponsors a J-1 visa for an AI Scientist position?
The visa sponsor is a U.S. Department of State-designated organization, such as IIE or Cultural Vistas, not your host employer. The host institution, whether a university AI lab or a national research center, serves as the placement site. The designated sponsor issues your DS-2019, monitors your compliance with exchange visitor regulations, and is your primary point of contact for status questions.
How do I find AI Scientist positions where the host employer already understands J-1 sponsorship?
Many employers outside of academia are unfamiliar with the J-1 host organization model and mistake it for direct employer sponsorship. Migrate Mate helps you identify U.S. employers and research institutions that have posted roles compatible with J-1 exchange visitor placements, narrowing your search to organizations already equipped to work with designated sponsors.
Does the two-year home residency requirement apply to AI Scientists on J-1 visas?
It often does. If your J-1 exchange is funded, even partially, by your home government or a bilateral program, or if your field appears on the State Department's Skills List for your country, the two-year requirement applies. You'd need to fulfill it or obtain a waiver before changing to H-1B visa or permanent residence status. Check your DS-2019 for the INA 212(e) notation.
Can an AI Scientist on a J-1 visa work for a private tech company as the host employer?
Yes, private companies can serve as J-1 host employers for Research Scholar or Specialist participants, provided a designated sponsor agrees to administer the program. In practice, designated sponsors scrutinize private industry placements more closely than academic or nonprofit ones, and the host must demonstrate a genuine research or knowledge-exchange purpose that aligns with J-1 program objectives.