Green Card AI Research Scientist Jobs
AI Research Scientist roles at U.S. research labs, tech companies, and universities regularly qualify for EB-2 or EB-3 green card sponsorship through the PERM labor certification process. Your employer files on your behalf, and a doctoral or master's degree in machine learning, computer science, or a related field typically anchors the petition.
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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.
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Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Research Scientist
Align your credentials to EB-2 requirements
A U.S.-equivalent master's or doctoral degree in AI, machine learning, or computer science is the standard anchor for EB-2 petitions. If your foreign degree is a three-year program, obtain a credential evaluation before your employer begins the PERM process.
Target employers with active PERM filing history
Search the OFLC Foreign Labor Application Gateway disclosure data for AI Research Scientist or related SOC codes to find employers who have filed PERM cases recently. Published filings show actual job titles, worksites, and prevailing wage levels used.
Use Migrate Mate to find green card sponsoring roles
Filter by EB-2 or EB-3 sponsorship and AI Research Scientist titles on Migrate Mate to surface employers with verified green card filing history. This removes the guesswork of cold-applying to companies that have never sponsored a permanent resident.
Verify your prevailing wage before the offer stage
Your employer must pay at least the DOL prevailing wage for your location and experience level. Use the OFLC Wage Search to check the Level II or Level III wage for your target metro before negotiating, since PERM is rejected if the offered wage falls below it.
Clarify the PERM timeline during offer negotiations
PERM recruitment and DOL review currently take six to eighteen months before your employer can file the I-140 with USCIS. Ask at the offer stage whether the company runs PERM concurrently with onboarding or waits for a performance milestone.
Document research publications and patents early
USCIS officers scrutinize whether an AI Research Scientist role genuinely requires an advanced degree. Published papers, patents, and conference presentations in your application packet strengthen both the EB-2 job requirements argument and your own qualifying credentials.
Green Card AI Research Scientist: Frequently Asked Questions
Does an AI Research Scientist role qualify for EB-2 or EB-3 sponsorship?
Most AI Research Scientist positions qualify for EB-2 because employers routinely require a master's or doctoral degree in computer science, machine learning, or a related field as a minimum job requirement. If the employer's posted requirements specify only a bachelor's degree, the role defaults to EB-3. The distinction matters because EB-2 priority dates move faster for most countries outside of India and China.
How does PERM green card sponsorship differ from H-1B for this role?
An H-1B visa is a temporary nonimmigrant status with a six-year maximum and an annual lottery. PERM-based sponsorship leads to lawful permanent residency with no renewal cycle and no cap lottery at the EB-3 level for most countries. The trade-off is time: PERM labor certification, I-140 approval, and adjustment of status can take two to five years depending on your country of birth and USCIS workload.
What happens to my green card case if I change employers mid-process?
If you change employers before USCIS approves your I-140, your PERM filing is abandoned and your new employer must restart the process from scratch. After I-140 approval and once your priority date is current, portability rules under AC21 let you move to a same or similar role without losing your place in the queue, provided your adjustment of status application has been pending for at least 180 days.
Where can I find AI Research Scientist jobs that already offer green card sponsorship?
Migrate Mate filters job listings by EB-2 and EB-3 sponsorship history so you're only seeing employers who have filed PERM cases for this type of role. You can also cross-reference the DOL OFLC disclosure data directly by searching for AI Research Scientist SOC codes to confirm a company's recent labor certification activity before applying.
Can my employer sponsor me for a National Interest Waiver instead of going through PERM?
A National Interest Waiver, or NIW, lets qualified EB-2 candidates self-petition without employer sponsorship or PERM labor certification, but the burden is on you to demonstrate that your AI research work benefits the United States broadly. USCIS evaluates the importance of your research, your ability to advance it, and whether the national benefit outweighs the standard labor market test. It's a strong option for researchers with published work and institutional backing.