Artificial Intelligence Scientist Visa Sponsorship Jobs in Washington
Washington is one of the most active states for artificial intelligence scientist roles, with major employers like Microsoft, Amazon, Apple, and Google operating research and engineering hubs across the Seattle metro and Redmond corridor. The University of Washington's AI research programs also feed a steady pipeline of international talent into the region's sponsorship ecosystem.
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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.
- MS in Computer Science, Computer Vision, Machine Learning, or related technical field, and a minimum of 6 years relevant experience.
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.
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.
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 $171,600 and $302,200, 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. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.
- MS in Computer Science, Computer Vision, Machine Learning, or related technical field, and a minimum of 6 years relevant experience.
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.
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.
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 $171,600 and $302,200, 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. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Artificial Intelligence Scientist Job Roles in Washington
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Search Artificial Intelligence Scientist Jobs in WashingtonArtificial Intelligence Scientist Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for artificial intelligence scientists in Washington?
Microsoft, Amazon, Apple, Google, and Meta all maintain significant AI research and applied science teams in Washington and have established records of sponsoring work visas for artificial intelligence scientists. Mid-sized companies like Tableau, Expedia, and F5 Networks also sponsor in this space. Washington's density of technology employers means sponsoring international AI talent is a routine part of hiring at many firms.
Which visa types are most common for artificial intelligence scientist roles in Washington?
The H-1B is the most common visa category for artificial intelligence scientists in Washington, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation standard. Candidates with exceptional publication records or industry recognition may also qualify for the O-1A. Australian citizens specifically have access to the E-3 visa, which has no lottery and is available year-round.
Which cities in Washington have the most artificial intelligence scientist sponsorship jobs?
The Seattle and Redmond metro area accounts for the overwhelming majority of artificial intelligence scientist sponsorship jobs in Washington. Seattle proper hosts major tech campuses and a growing number of AI-focused startups, while Redmond is home to Microsoft's headquarters and several dedicated AI research teams. Bellevue and Kirkland also have notable concentrations of technology employers that sponsor in this category.
How to find artificial intelligence scientist visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse artificial intelligence scientist roles in Washington without manually vetting each employer. Because sponsorship willingness varies significantly even among large Washington tech companies, using a platform built around sponsorship data saves time and reduces uncertainty during your search.
Are there any Washington-specific considerations for artificial intelligence scientists pursuing visa sponsorship?
Washington's concentration of large technology employers means prevailing wage requirements under the H-1B Labor Condition Application are benchmarked against a competitive regional market, so offered compensation is generally expected to reflect that. The University of Washington's Paul G. Allen School of Computer Science and Engineering is a well-recognized feeder for AI research roles locally, and international graduates from UW frequently pursue sponsorship through employers they connected with during internships or research collaborations.
What is the prevailing wage for sponsored artificial intelligence scientist jobs in Washington?
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.
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