Machine Learning Researcher Visa Sponsorship Jobs in Washington
Machine learning researcher visa sponsorship jobs in Washington are concentrated in Seattle and Bellevue, where employers including Microsoft, Amazon, Apple, and Meta operate major AI research labs. The University of Washington's Allen School also feeds a strong academic-to-industry pipeline. Washington's density of tech headquarters makes it one of the most active states for ML research sponsorship.
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Get Access To All JobsSUMMARY
The AIML Multimodal Foundation Model Team is pioneering next-generation intelligent agent technologies that combine multimodal reasoning, tool-use, and visual understanding. Our innovative features redefine how hundreds of millions of people utilize their computers and mobile devices for search and information retrieval. Our universal search engine powers search capabilities across a range of Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. Additionally, we develop cutting-edge generative AI technologies based on multimodal large language models to enable innovative features in both Apple’s devices and cloud-based services. As a member of this team, you will design new architectures for multimodal agents, explore advanced training paradigms, and build robust agentic capabilities such as planning, grounding, tool-use, and autonomous task execution. You will collaborate closely with researchers and engineers to bring cutting-edge agent research into production, transforming Apple devices into intelligent partners that help users get things done.
DESCRIPTION
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision, multimodal LLM, and agent training experience and solid engineering skills. This role will have the following responsibilities:
- Developing state-of-the-art multimodal foundation models for Apple Intelligence.
- Developing various agent capabilities for multimodal LLMs, including computer use agents, visual tool use, thinking with images, and multimodal web search.
- Developing, fine-tuning, and evaluating domain specific foundation models for various tasks and applications in Apple’s AI powered products.
- Conducting applied research to transfer the pioneering research in generative AI to production ready technologies.
- Understanding product requirements, translate them into modeling tasks and engineering tasks.
MINIMUM QUALIFICATIONS
- PhD, MS or equivalent experience
- Experience in machine learning, deep learning, computer vision, or natural language processing
- Proficiency in one of following languages: Python, Go, Java, C++
PREFERRED QUALIFICATIONS
- Excellent data analytical skills
- Good interpersonal skills and team player
- PhD preferred
COMPENSATION
- Base pay range for this role is between $175,000 and $308,500, 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.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
The AIML Multimodal Foundation Model Team is pioneering next-generation intelligent agent technologies that combine multimodal reasoning, tool-use, and visual understanding. Our innovative features redefine how hundreds of millions of people utilize their computers and mobile devices for search and information retrieval. Our universal search engine powers search capabilities across a range of Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. Additionally, we develop cutting-edge generative AI technologies based on multimodal large language models to enable innovative features in both Apple’s devices and cloud-based services. As a member of this team, you will design new architectures for multimodal agents, explore advanced training paradigms, and build robust agentic capabilities such as planning, grounding, tool-use, and autonomous task execution. You will collaborate closely with researchers and engineers to bring cutting-edge agent research into production, transforming Apple devices into intelligent partners that help users get things done.
DESCRIPTION
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision, multimodal LLM, and agent training experience and solid engineering skills. This role will have the following responsibilities:
- Developing state-of-the-art multimodal foundation models for Apple Intelligence.
- Developing various agent capabilities for multimodal LLMs, including computer use agents, visual tool use, thinking with images, and multimodal web search.
- Developing, fine-tuning, and evaluating domain specific foundation models for various tasks and applications in Apple’s AI powered products.
- Conducting applied research to transfer the pioneering research in generative AI to production ready technologies.
- Understanding product requirements, translate them into modeling tasks and engineering tasks.
MINIMUM QUALIFICATIONS
- PhD, MS or equivalent experience
- Experience in machine learning, deep learning, computer vision, or natural language processing
- Proficiency in one of following languages: Python, Go, Java, C++
PREFERRED QUALIFICATIONS
- Excellent data analytical skills
- Good interpersonal skills and team player
- PhD preferred
COMPENSATION
- Base pay range for this role is between $175,000 and $308,500, 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.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
Machine Learning Researcher Job Roles in Washington
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Search Machine Learning Researcher Jobs in WashingtonMachine Learning Researcher Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for machine learning researchers in Washington?
Microsoft, Amazon, and Google are among the most active H-1B visa sponsors for machine learning researchers in Washington, with large AI research divisions in Redmond and Seattle. Apple, Meta, and Allen Institute for AI also file regularly for ML research roles in the state. Reviewing DOL Labor Condition Application disclosure data by employer and job title gives the clearest picture of which companies file most consistently.
Which visa types realistically fit machine learning researcher roles in Washington?
Machine learning researcher roles typically qualify for H-1B status as a specialty occupation requiring a directly related bachelor's degree or higher, usually in computer science, statistics, or a related field. Australian nationals may apply for the E-3 visa, while Chilean and Singaporean nationals may qualify under H-1B1 visa. F-1 students can use OPT or, with a qualifying STEM-designated degree, the 24-month STEM OPT extension. EB-2 or EB-3 employment-based green cards are common long-term paths.
How to find machine learning researcher visa sponsorship jobs in Washington?
Migrate Mate lists Washington employers with verified sponsorship history for machine learning researcher roles, searchable by city and employer. Because ML research positions are concentrated in Seattle, Bellevue, and Redmond, narrowing your search to those areas surfaces the most relevant opportunities. Migrate Mate shows employers that have filed Labor Condition Applications for roles matching machine learning research, giving you a verifiable starting point rather than guesswork.
Which cities in Washington have the most machine learning researcher sponsorship jobs?
Seattle accounts for the largest share of machine learning researcher sponsorship activity in Washington, anchored by Amazon's headquarters and a dense cluster of AI-focused companies. Bellevue and Redmond follow closely, driven by Microsoft's main campus and its Azure AI and research divisions. Kirkland has also grown as a secondary tech hub. Outside the greater Seattle metro, ML research sponsorship activity drops off significantly.
Are there state-specific factors that affect machine learning researcher sponsorship in Washington?
Washington's concentration of major tech headquarters means that many machine learning researcher positions are funded through corporate R&D budgets rather than government grants, which can simplify the sponsorship process for employers already experienced with H-1B filings. The University of Washington's Paul G. Allen School of Computer Science and Engineering produces graduate researchers who frequently transition directly into industry roles at Seattle-area companies, creating a well-established hiring pipeline that many local employers actively recruit through.
What is the prevailing wage for sponsored machine learning researcher 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.