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 JobsWould you like to join a team curious about understanding how foundation models work and to expand their capabilities in scientific domains? We perform and publish novel research and apply our findings to drive product directions. If you like designing clever approaches to understanding complex phenomena and using that knowledge to solve practical problems then this is the position for you.
Description
In this research scientist role you will join a small team of researchers performing fundamental research investigating foundation models for scientific domains. You will be involved in all aspects of performing research including project definition, method development, and experimental design. You will also run your own experiments, then analyze and interpret the results. You will take an active role in writing papers for publication and also using our findings to solve applied problems. You will also have the opportunity to collaborate with partner teams across Apple.
Responsibilities
- Design robust experiments and methods to understand what foundation models do under the hood.
- Implement your methods and designs in experiment pipelines.
- Analyze and interpret your experimental results.
- Communicate results to teams across Apple.
- Write papers for publication in top-tier conferences/journals.
Minimum Qualifications
- PhD in computer science, statistics, physics, chemistry, electrical engineering, or operations research. Other hard sciences may also be considered.
- 3 publications in top-tier machine learning, statistics, or natural language processing venues.
- Deep knowledge of foundation models and experience training them and applying them to real, complex datasets as demonstrated through publications or code repositories.
- Experience designing experiments to understand how foundation models work.
- Knowledge of Bayesian statistical methods and how they are used for scientific inference.
Preferred Qualifications
- Experience with large language models and both training them and using tools like vllm for inference.
- Proficient implementing ML models and experiments in Python and Pytorch/Jax.
- Familiarity with interpretability methods like activation patching/causal tracing.
- Demonstrate the ability to refine ambiguous research ideas to construct a coherent and logically sound story.
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 $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. 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.
Would you like to join a team curious about understanding how foundation models work and to expand their capabilities in scientific domains? We perform and publish novel research and apply our findings to drive product directions. If you like designing clever approaches to understanding complex phenomena and using that knowledge to solve practical problems then this is the position for you.
Description
In this research scientist role you will join a small team of researchers performing fundamental research investigating foundation models for scientific domains. You will be involved in all aspects of performing research including project definition, method development, and experimental design. You will also run your own experiments, then analyze and interpret the results. You will take an active role in writing papers for publication and also using our findings to solve applied problems. You will also have the opportunity to collaborate with partner teams across Apple.
Responsibilities
- Design robust experiments and methods to understand what foundation models do under the hood.
- Implement your methods and designs in experiment pipelines.
- Analyze and interpret your experimental results.
- Communicate results to teams across Apple.
- Write papers for publication in top-tier conferences/journals.
Minimum Qualifications
- PhD in computer science, statistics, physics, chemistry, electrical engineering, or operations research. Other hard sciences may also be considered.
- 3 publications in top-tier machine learning, statistics, or natural language processing venues.
- Deep knowledge of foundation models and experience training them and applying them to real, complex datasets as demonstrated through publications or code repositories.
- Experience designing experiments to understand how foundation models work.
- Knowledge of Bayesian statistical methods and how they are used for scientific inference.
Preferred Qualifications
- Experience with large language models and both training them and using tools like vllm for inference.
- Proficient implementing ML models and experiments in Python and Pytorch/Jax.
- Familiarity with interpretability methods like activation patching/causal tracing.
- Demonstrate the ability to refine ambiguous research ideas to construct a coherent and logically sound story.
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 $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. 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.