Green Card Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist roles qualify for EB-2 green card sponsorship when the position requires an advanced degree in computer science, machine learning, or a related field. Employers file PERM labor certification with DOL before sponsoring permanent residency, and research-focused AI roles often support EB-2 National Interest Waiver eligibility without a specific job offer.
Find Green Card Artificial Intelligence Scientist JobsOverview
Showing 5 of 2,110+ Artificial Intelligence Scientist jobs
See all 2,110+ 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 JobsINTRODUCTION
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
THE TEAM
TRI’s Adaptive Behavior Systems Department within our Human-Centered AI (HCAI) Division aims to develop AI systems that can support behavior change, such as reducing carbon emissions. To do this, we are developing novel models of human behavior that integrate behavioral science, Human-Computer Interaction, and advanced machine learning.
THE OPPORTUNITY
We are looking for an AI Research Scientist or Senior AI Scientist with expertise in large-scale foundational model training, fine-tuning, evaluation, and benchmarking. This role operates at the forefront of generative machine learning and human behavior modeling. Ideal candidates will bring a strong research track record, hands-on experimentation skills, and experience developing and deploying foundational models. This role sits at the intersection of social science and generative AI, building models that represent human beliefs, preferences, and cognition as they change over time. For an example of our early research in this vein, please see https://arxiv.org/abs/2403.20252.
Responsibilities
- Conduct machine learning research that integrates behavioral science concepts to push the boundaries of knowledge and the state of the art in Human-Centered AI
- Develop and evaluate generative AI and machine learning methods for modeling and understanding human behavior
- Collaborate cross-functionally with researchers in multiple fields, as well as university partners
- Stay up to date on the state-of-the-art in machine learning theories, methods and tooling
- Collaborate with scientists in the Adaptive Behavioral Systems Department to shape our research program and to communicate research to Toyota stakeholders
- Publish research findings in academic journals and/or conferences
- Contribute to technology transfer of research insights and prototypes throughout Toyota
QUALIFICATIONS
- PhD in computer science, machine learning, or a closely related field with 1-7 years of experience in machine learning research or related projects in an industry setting, particularly in areas related to LLM training or large-scale ML. Industry experience is a plus.
- A strong publication record in ML, NLP, deep learning, or related fields
- Awareness of current machine learning research and the ability to critically evaluate emerging techniques and literature
- Experience with LLM/MLLM pretraining, fine-tuning (e.g., SFT, RLHF) and agentic systems
- Proficiency in Python and modern deep learning frameworks such as Pytorch or Tensorflow
- Ability to work collaboratively across disciplines and functions
- Ability to balance multiple projects, including short-term and those that may span several years
- Strong project management skills and desire to work on cutting-edge open-ended research projects
- Demonstrated ability to independently identify research opportunities, formulate well-scoped problems, and lead research projects end-to-end
- Demonstrated ability to work autonomously while soliciting feedback
- Strong interpersonal skills. Great teammate
BONUS QUALIFICATIONS
- Experience with one or more of the following areas: diffusion models, uncertainty modeling, reinforcement learning, and physiological signal processing
- Previous experience in human modeling (both cognitive and behavioral) with generative AI
- Experience with human-centered research (e.g. computational behavioral and social science, human-computer interaction, neuro-science)
Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.
COMPENSATION
- The pay range for this position at commencement of employment is expected to be between $176,000 and $253,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location.
TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
INTRODUCTION
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
THE TEAM
TRI’s Adaptive Behavior Systems Department within our Human-Centered AI (HCAI) Division aims to develop AI systems that can support behavior change, such as reducing carbon emissions. To do this, we are developing novel models of human behavior that integrate behavioral science, Human-Computer Interaction, and advanced machine learning.
THE OPPORTUNITY
We are looking for an AI Research Scientist or Senior AI Scientist with expertise in large-scale foundational model training, fine-tuning, evaluation, and benchmarking. This role operates at the forefront of generative machine learning and human behavior modeling. Ideal candidates will bring a strong research track record, hands-on experimentation skills, and experience developing and deploying foundational models. This role sits at the intersection of social science and generative AI, building models that represent human beliefs, preferences, and cognition as they change over time. For an example of our early research in this vein, please see https://arxiv.org/abs/2403.20252.
Responsibilities
- Conduct machine learning research that integrates behavioral science concepts to push the boundaries of knowledge and the state of the art in Human-Centered AI
- Develop and evaluate generative AI and machine learning methods for modeling and understanding human behavior
- Collaborate cross-functionally with researchers in multiple fields, as well as university partners
- Stay up to date on the state-of-the-art in machine learning theories, methods and tooling
- Collaborate with scientists in the Adaptive Behavioral Systems Department to shape our research program and to communicate research to Toyota stakeholders
- Publish research findings in academic journals and/or conferences
- Contribute to technology transfer of research insights and prototypes throughout Toyota
QUALIFICATIONS
- PhD in computer science, machine learning, or a closely related field with 1-7 years of experience in machine learning research or related projects in an industry setting, particularly in areas related to LLM training or large-scale ML. Industry experience is a plus.
- A strong publication record in ML, NLP, deep learning, or related fields
- Awareness of current machine learning research and the ability to critically evaluate emerging techniques and literature
- Experience with LLM/MLLM pretraining, fine-tuning (e.g., SFT, RLHF) and agentic systems
- Proficiency in Python and modern deep learning frameworks such as Pytorch or Tensorflow
- Ability to work collaboratively across disciplines and functions
- Ability to balance multiple projects, including short-term and those that may span several years
- Strong project management skills and desire to work on cutting-edge open-ended research projects
- Demonstrated ability to independently identify research opportunities, formulate well-scoped problems, and lead research projects end-to-end
- Demonstrated ability to work autonomously while soliciting feedback
- Strong interpersonal skills. Great teammate
BONUS QUALIFICATIONS
- Experience with one or more of the following areas: diffusion models, uncertainty modeling, reinforcement learning, and physiological signal processing
- Previous experience in human modeling (both cognitive and behavioral) with generative AI
- Experience with human-centered research (e.g. computational behavioral and social science, human-computer interaction, neuro-science)
Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.
COMPENSATION
- The pay range for this position at commencement of employment is expected to be between $176,000 and $253,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location.
TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See all 2,110+ Green Card Artificial Intelligence Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Artificial Intelligence Scientist Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an Artificial Intelligence Scientist
Document your AI research output early
PERM audits frequently target AI Scientist roles because DOL scrutinizes whether the position genuinely requires an advanced degree. Compile peer-reviewed publications, patent filings, and conference presentations before applications begin so your employer's PERM filing reflects verifiable specialty occupation evidence.
Target employers with PERM filing history
Not every company sponsoring H-1B visa workers will sponsor PERM green cards. Focus on employers that have filed PERM applications for AI research roles specifically, as these companies already have immigration counsel and an established process for employment-based sponsorship.
Use Migrate Mate to filter sponsoring employers
Searching for AI Scientist roles with confirmed green card sponsorship history cuts weeks off your research. Migrate Mate surfaces employers with active EB-2 and EB-3 filing histories so you're targeting companies already committed to permanent sponsorship, not just work visa transfers.
Understand the prevailing wage before negotiating
Your employer must pay at least the DOL prevailing wage for your AI Scientist role and location. Look up your specific SOC code using the OFLC Wage Search before salary discussions so you know the floor, since PERM approval depends on the offered wage meeting that threshold.
Ask employers about concurrent I-140 filing
Once your employer submits a PERM application, ask whether they'll file your I-140 petition concurrently with adjustment of status if your priority date is current. For nationals from countries without significant EB-2 backlogs, concurrent filing can compress the overall green card timeline substantially.
Explore EB-2 National Interest Waiver for AI research
AI Scientist roles with national security, healthcare AI, or public-interest research applications may qualify for a National Interest Waiver, letting you self-petition without employer sponsorship. USCIS evaluates substantial merit and national importance, so documented societal impact strengthens an NIW case considerably.
Green Card Artificial Intelligence Scientist: Frequently Asked Questions
Does an Artificial Intelligence Scientist role qualify for EB-2 or EB-3 green card sponsorship?
Most AI Scientist positions qualify under EB-2 because the role typically requires a master's degree or PhD in computer science, machine learning, or a related field. EB-3 applies when the employer classifies the role as a skilled worker position requiring a bachelor's degree. The PERM filing category depends on the minimum education the employer lists in the job description, not your actual credentials.
How does PERM green card sponsorship differ from H-1B sponsorship for AI Scientist roles?
H-1B is a temporary nonimmigrant status lasting up to six years, with an annual cap and lottery for most applicants. PERM-based EB-2 or EB-3 sponsorship leads to lawful permanent residency with no annual cap at the EB-3 level for most countries outside India and China. The PERM process takes longer, typically one to three years from labor certification through green card approval, but the outcome is permanent rather than a renewable temporary status.
What does the PERM labor certification process look like for an AI Scientist position?
Your employer files an Application for Permanent Employment Certification with DOL, demonstrating that no qualified U.S. worker is available for the role at the prevailing wage. For AI Scientist positions, DOL often audits PERM applications because the job market is competitive. Employers must conduct a documented recruitment campaign before filing. The process typically takes six to eighteen months before the I-140 petition stage begins.
Can I find AI Scientist jobs where employers are already committed to green card sponsorship?
Yes. Employers who have filed PERM applications for AI research roles previously are more likely to sponsor again because they have established immigration processes. Migrate Mate filters job listings by employers with green card sponsorship history, so you can focus on companies that have completed EB-2 or EB-3 filings rather than spending time approaching employers unfamiliar with the PERM process.
Is a National Interest Waiver a realistic path for AI Scientists who want to self-petition?
It can be, particularly for researchers working on AI applications in healthcare, national security, climate modeling, or critical infrastructure. USCIS evaluates whether your work has substantial merit and national importance and whether you are well-positioned to advance it. A strong publication record, citations, and documented real-world impact support an NIW petition. Unlike PERM, the NIW requires no employer sponsorship and no prevailing wage requirement.