TN Visa Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst and related scientific categories. Canadian citizens can apply at the border or a U.S. consulate without a lottery; Mexican citizens go through consular processing. Your degree and job duties must align with a qualifying TN occupation.
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INTRODUCTION
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an Applied AI Scientist to work on the field of Generative AI and multimodal foundation models. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community. Our publications span multimodal pre-training, vision-language models, video-language models, and multimodal alignment. We are focused on building experiences that demonstrate the power of our sensing hardware as well as large foundation models.
DESCRIPTION
This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research, conducting applied research experiments, and working with engineering teams to transform promising approaches into robust solutions, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.
MINIMUM QUALIFICATIONS
- Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.).
- Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.
- Experience with rapid prototyping, reproduction, and validation of research ideas.
- Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.
PREFERRED QUALIFICATIONS
- PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field.
- Demonstrated expertise in deep learning, with either: A publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV,COLM, etc), or a strong track record of applying deep learning techniques to real-world products.
- Experience with foundation models (language or multimodal).
- Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage.
- Experience fine-tuning or optimizing large models for production deployment.
- Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning.
- Familiarity with privacy-preserving or on-device machine learning.
- Ability to work effectively in a multi-functional, collaborative environment.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

INTRODUCTION
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an Applied AI Scientist to work on the field of Generative AI and multimodal foundation models. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community. Our publications span multimodal pre-training, vision-language models, video-language models, and multimodal alignment. We are focused on building experiences that demonstrate the power of our sensing hardware as well as large foundation models.
DESCRIPTION
This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research, conducting applied research experiments, and working with engineering teams to transform promising approaches into robust solutions, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.
MINIMUM QUALIFICATIONS
- Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.).
- Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.
- Experience with rapid prototyping, reproduction, and validation of research ideas.
- Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.
PREFERRED QUALIFICATIONS
- PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field.
- Demonstrated expertise in deep learning, with either: A publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV,COLM, etc), or a strong track record of applying deep learning techniques to real-world products.
- Experience with foundation models (language or multimodal).
- Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage.
- Experience fine-tuning or optimizing large models for production deployment.
- Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning.
- Familiarity with privacy-preserving or on-device machine learning.
- Ability to work effectively in a multi-functional, collaborative environment.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
See all 968+ Artificial Intelligence Scientist jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship as an Artificial Intelligence Scientist
Map your credentials to qualifying TN categories
AI Scientist roles don't have a single TN occupation code. Review whether your position fits Computer Systems Analyst, Mathematician, or Scientific Technician criteria based on your actual job duties and degree field before targeting employers.
Request a detailed offer letter early
Your TN approval depends heavily on how the employer describes the role. Ask hiring managers to specify your degree requirement, research methods, and AI-specific responsibilities in the letter, not just a generic job title.
Target employers with established immigration support teams
Large tech, defense, and research organizations typically have in-house immigration counsel who understand TN documentation requirements. Smaller startups often lack this infrastructure, which can slow or complicate your filing process significantly.
Use Migrate Mate to find verified sponsoring employers
Search Migrate Mate to identify AI Scientist roles at employers actively filing TN and H-1B petitions. Filter by role type to focus your applications on organizations already comfortable navigating professional visa sponsorship.
Prepare for CBP questions on AI research scope
Canadian applicants presenting at a port of entry should be ready to explain how their AI work is analytical and scientific rather than purely managerial or product-focused. CBP officers assess TN eligibility on the spot, so clarity matters.
Understand Mexican nationals face a TN cap
Mexican citizens are subject to an annual TN allocation under USMCA. If you're approaching the cap period, file through consular processing well in advance and confirm your employer is ready to submit supporting documents without delay.
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Find Artificial Intelligence Scientist JobsArtificial Intelligence Scientist TN Visa: Frequently Asked Questions
Does an Artificial Intelligence Scientist role qualify for TN visa sponsorship?
It depends on how the role is defined. TN visas don't list AI Scientist as a standalone category. The position typically qualifies under Computer Systems Analyst, Mathematician, or a related scientific occupation, but only if your job duties and degree align precisely with that category's requirements. Roles that blend research with product management or general engineering can face scrutiny at the border or consulate.
How does TN visa sponsorship compare to H-1B for AI Scientist roles?
TN has no lottery and no annual cap for Canadian citizens, so you can start work as soon as the visa is approved rather than waiting for an October 1 start date. H-1B selection is random and capped at 85,000 per year, making it far less predictable. The trade-off is that TN doesn't allow dual intent, so long-term permanent residency planning requires a separate strategy alongside your TN status.
What documents does an employer need to provide for my TN application?
Your employer needs to provide a detailed support letter on company letterhead that specifies your job title, a description of your AI research duties, the degree required for the position, your anticipated start date, and your compensation structure. The letter must connect your role to a recognized TN occupation category. Vague or generic letters are a common reason for TN denials or requests for additional evidence at the border.
How can I find AI Scientist jobs with TN visa sponsorship?
Migrate Mate is built specifically for this search. You can filter for AI Scientist roles at employers with active TN and professional visa filing histories, so you're targeting companies already familiar with sponsorship rather than educating every recruiter from scratch. This significantly reduces the back-and-forth that often stalls TN applications at the offer stage.
Can I switch employers on a TN visa if I get a better AI Scientist offer?
Yes, but your TN authorization is tied to your current employer. You'll need a new TN approval before starting with the new organization. Canadian citizens can typically handle this at a port of entry with a new employer support letter, while Mexican nationals must return to a U.S. consulate. There's no grace period built into the TN category for employer changes, so timing your transition carefully is essential.
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