Machine Learning Scientist Visa Sponsorship Jobs in Washington
Washington is one of the most active states for machine learning scientist visa sponsorship, driven by major tech employers in the Seattle metro including Microsoft, Amazon, Apple, and Google. Bellevue and Redmond anchor the hiring corridor, with additional demand from cloud infrastructure, autonomous systems, and biotech research teams across the region.
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Get Access To All JobsINTRODUCTION
Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Research, design and develop machine learning models that personalize the App Store for billions of users worldwide! Propose, prototype and evaluate algorithm improvements. Build large-scale personalized recommender systems for Apple Music, Apps & Games Recommendations, Video, Podcast and Books Recommendations. See your work touch the lives of billions of Apple users worldwide.
The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple’s unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here.
DESCRIPTION
We are looking for a world-class researcher to help us solve challenging problems in personalization science using the latest advances in machine learning. With your expertise, we want to develop novel solutions to power personalized experiences across the App Store that enrich the lives of our customers. You will have the incredible opportunity to see your solutions deployed at Apple’s truly incredible global scale.
Responsibilities
- Develop and apply state of the scientific art in machine learning and artificial intelligence to personalization of user experiences.
- Conduct human evaluation and rigorous experiments to test and improve your models.
- Derive insights from experimentation and convert them into feature improvements.
- Ship production quality code to deploy your models at global scale.
- Contribute to the scientific literature through publications and participation in leading academic conferences.
- Help chart the future growth of personalization across Apple's services ecosystem.
MINIMUM QUALIFICATIONS
- 6+ years of relevant work experience.
- Deep knowledge of machine learning powered personalization algorithms, design patterns and tools. In particular, this includes deep learning, reinforcement learning and unsupervised learning methods.
- Knowledge of generative artificial intelligence applied to recommendation systems.
- Practical real-world experience with building scalable recommendation systems.
- Proven grasp of the open-source Python ML/AI tech stack, including Tensorflow, pytorch, scikit-learn, numpy-scipy-pandas.
- Technical competence in production-quality software development.
- Familiarity with big data technologies.
- Strong written & oral communication skills.
- Master’s in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
PREFERRED QUALIFICATIONS
- PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
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
Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Research, design and develop machine learning models that personalize the App Store for billions of users worldwide! Propose, prototype and evaluate algorithm improvements. Build large-scale personalized recommender systems for Apple Music, Apps & Games Recommendations, Video, Podcast and Books Recommendations. See your work touch the lives of billions of Apple users worldwide.
The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple’s unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here.
DESCRIPTION
We are looking for a world-class researcher to help us solve challenging problems in personalization science using the latest advances in machine learning. With your expertise, we want to develop novel solutions to power personalized experiences across the App Store that enrich the lives of our customers. You will have the incredible opportunity to see your solutions deployed at Apple’s truly incredible global scale.
Responsibilities
- Develop and apply state of the scientific art in machine learning and artificial intelligence to personalization of user experiences.
- Conduct human evaluation and rigorous experiments to test and improve your models.
- Derive insights from experimentation and convert them into feature improvements.
- Ship production quality code to deploy your models at global scale.
- Contribute to the scientific literature through publications and participation in leading academic conferences.
- Help chart the future growth of personalization across Apple's services ecosystem.
MINIMUM QUALIFICATIONS
- 6+ years of relevant work experience.
- Deep knowledge of machine learning powered personalization algorithms, design patterns and tools. In particular, this includes deep learning, reinforcement learning and unsupervised learning methods.
- Knowledge of generative artificial intelligence applied to recommendation systems.
- Practical real-world experience with building scalable recommendation systems.
- Proven grasp of the open-source Python ML/AI tech stack, including Tensorflow, pytorch, scikit-learn, numpy-scipy-pandas.
- Technical competence in production-quality software development.
- Familiarity with big data technologies.
- Strong written & oral communication skills.
- Master’s in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
PREFERRED QUALIFICATIONS
- PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
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.
Machine Learning Scientist Job Roles in Washington
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Search Machine Learning Scientist Jobs in WashingtonMachine Learning Scientist Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for machine learning scientists in Washington?
Microsoft, Amazon, Google, Apple, and Meta have consistent histories of sponsoring work visas for machine learning scientists in Washington, particularly through their Seattle and Redmond campuses. Beyond the major tech firms, companies like Zillow, Expedia, T-Mobile, and a growing number of AI-focused startups in the Seattle area also sponsor qualified candidates for these roles regularly.
Which visa types are most common for machine learning scientist roles in Washington?
The H-1B visa is the most common visa category for machine learning scientists in Washington, as the role typically requires a master's or doctoral degree in computer science, statistics, or a closely related field, satisfying the specialty occupation requirement. Candidates with advanced degrees from U.S. universities may be eligible for the H-1B cap exemption under the master's cap. The O-1A is an alternative for candidates with demonstrated exceptional ability, such as published research or significant industry recognition.
Which cities in Washington have the most machine learning scientist sponsorship jobs?
Seattle and Redmond account for the large majority of machine learning scientist sponsorship activity in Washington. Microsoft's Redmond headquarters and Amazon's Seattle campus are among the highest-volume H-1B filers nationally for this role type. Bellevue has grown significantly as a secondary hub, with several large tech employers maintaining engineering offices there. Kirkland also has meaningful presence, particularly through Google's local engineering campus.
How to find machine learning scientist visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles, and filters directly for machine learning scientist positions in Washington. Because sponsorship willingness is not always stated in standard job postings, using a platform that surfaces verified sponsoring employers saves significant time. Migrate Mate aggregates active openings from companies with documented sponsorship histories, so you can focus your applications on roles where sponsorship is a realistic possibility.
Are there any Washington-specific factors that affect machine learning scientist sponsorship?
Washington has no state income tax, which affects prevailing wage calculations under Department of Labor methodology since compensation structures here often include equity heavily weighted against base salary. University of Washington is a significant pipeline for machine learning talent, and its OPT and STEM OPT graduates frequently enter sponsorship processes with Seattle-area employers. Washington's concentration of large tech employers also means more cap-exempt H-1B filings through institutions affiliated with nonprofits or universities, though this is role and employer dependent.
What is the prevailing wage for sponsored machine learning 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.