Artificial Intelligence E-3 Sponsorship Jobs in Washington
Artificial intelligence E-3 visa sponsorship jobs in Washington are concentrated in Seattle and the Eastside, where Microsoft, Amazon, Google, and a dense cluster of AI-focused startups actively hire Australian engineers, researchers, and data scientists. Washington's position as one of the top U.S. tech hubs makes it one of the most active states for E-3 sponsorship in the AI sector.
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Get Access To All JobsINTRODUCTION
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience plus a Master's degree).
PREFERRED QUALIFICATIONS
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
ABOUT THE JOB
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
The US base salary range for this full-time position is $240,000-$338,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions.
- Own projects end-to-end, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
- Address ambiguous or new problems by using the capabilities of existing systems and collaborate to turn broad problems into work for the team.
- Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.
- Provide direction and accomplish results through leading/impacting the contributions of others.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience plus a Master's degree).
PREFERRED QUALIFICATIONS
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
ABOUT THE JOB
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
The US base salary range for this full-time position is $240,000-$338,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions.
- Own projects end-to-end, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
- Address ambiguous or new problems by using the capabilities of existing systems and collaborate to turn broad problems into work for the team.
- Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.
- Provide direction and accomplish results through leading/impacting the contributions of others.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
E-3 Artificial Intelligence Job Roles in Washington
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Search Artificial Intelligence Jobs in WashingtonArtificial Intelligence E-3 Sponsorship Jobs in Washington: Frequently Asked Questions
Which artificial intelligence companies in Washington sponsor E-3 visas?
Microsoft, Amazon, and Google have significant AI research and engineering operations in the Seattle area and have sponsored E-3 visas for Australian nationals in technical roles. Beyond those established names, companies like AI2 (Allen Institute for AI), Snowflake, and a range of AI-focused startups headquartered in Seattle and Bellevue have also pursued E-3 sponsorship for qualified candidates.
Which cities in Washington have the most artificial intelligence E-3 sponsorship jobs?
Seattle accounts for the largest share of AI E-3 sponsorship activity in Washington, driven by its concentration of major tech employers and AI research institutions. Bellevue and Redmond on the Eastside are also significant, largely due to Microsoft's headquarters in Redmond. Smaller clusters exist in Kirkland and Bothell, particularly in cloud infrastructure and machine learning engineering.
What types of artificial intelligence roles typically qualify for E-3 sponsorship in Washington?
Roles that routinely qualify include machine learning engineer, data scientist, AI research scientist, NLP engineer, and computer vision engineer. Each requires a bachelor's degree or higher in a directly related field such as computer science, statistics, or electrical engineering. Washington employers filing for E-3 sponsorship must demonstrate the position meets the specialty occupation standard, meaning a specific degree is a minimum requirement for the role.
How do I find artificial intelligence E-3 sponsorship jobs in Washington?
Migrate Mate is built specifically for this search. You can filter by E-3 visa type, the artificial intelligence industry, and Washington state to see verified sponsorship-eligible roles from employers who have demonstrated willingness to hire internationally. Because E-3 sponsorship depends on the employer's capacity and the role meeting specialty occupation criteria, Migrate Mate helps narrow your search to positions where sponsorship is a realistic part of the conversation.
Are there any Washington-specific or AI-specific considerations for E-3 sponsorship?
Washington has no state income tax, which is worth noting as a financial consideration when evaluating offers, though it does not affect the E-3 process itself. On the AI side, roles at research-oriented organizations like the Allen Institute for AI may involve different employment structures than standard corporate roles, which can affect how the E-3 application is prepared. Australian nationals should confirm their prospective employer has experience with E-3 sponsorship before accepting an offer.
What is the prevailing wage for E-3 artificial intelligence 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.