Machine Learning Engineer Visa Sponsorship Jobs in Washington
Washington is one of the strongest states for machine learning engineer visa sponsorship, driven by Microsoft, Amazon, and Google's major presence in the Seattle metro area. Bellevue, Redmond, and Seattle collectively host some of the largest ML engineering teams in the country, with Puget Sound's tech corridor offering consistent sponsorship activity across cloud, search, and AI infrastructure roles.
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The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.
We are looking for a Senior Machine Learning Engineer to join our team!
This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse is the platform to securely store an enormous amount of data in a cost efficient, scalable and easily manageable way. This team builds a suite of microservices to get near real-time insights over your data in Microsoft Copilot Studio. You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Responsibilities include:
- Collaborate with Applied Researchers to develop hypotheses, acquire data, and train models for strategically important features in Copilot Studio.
- Co-own the training and evaluation pipeline. Your role requires listening to Applied Researchers, identifying pain points or agility problems, and owning the E2E improvements to our process.
- Develop and manage training data sets using human vendors, synthetic data generation, and customer-donated data.
- Set and enforce the software quality bar for both human and AI-generated features.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- 5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.
- Experience with modern python.
- Demonstrated experience on the e2e lifecycle of an ML or AI feature.
- Contributions to the broader MLE community through talks, papers, or other outreach.
Compensation
- The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
Overview
The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.
We are looking for a Senior Machine Learning Engineer to join our team!
This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse is the platform to securely store an enormous amount of data in a cost efficient, scalable and easily manageable way. This team builds a suite of microservices to get near real-time insights over your data in Microsoft Copilot Studio. You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Responsibilities include:
- Collaborate with Applied Researchers to develop hypotheses, acquire data, and train models for strategically important features in Copilot Studio.
- Co-own the training and evaluation pipeline. Your role requires listening to Applied Researchers, identifying pain points or agility problems, and owning the E2E improvements to our process.
- Develop and manage training data sets using human vendors, synthetic data generation, and customer-donated data.
- Set and enforce the software quality bar for both human and AI-generated features.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- 5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.
- Experience with modern python.
- Demonstrated experience on the e2e lifecycle of an ML or AI feature.
- Contributions to the broader MLE community through talks, papers, or other outreach.
Compensation
- The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
Machine Learning Engineer Job Roles in Washington
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Search Machine Learning Engineer Jobs in WashingtonMachine Learning Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Washington?
Microsoft in Redmond, Amazon in Seattle, and Google in Kirkland are among the most active sponsors for machine learning engineers in Washington. Apple, Meta, and Expedia also maintain significant ML teams in the greater Seattle area. Beyond the largest employers, a number of mid-size AI and cloud infrastructure companies in the Puget Sound region have established sponsorship track records for specialized ML roles.
Which visa types are most common for machine learning engineer roles in Washington?
The H-1B is the most common visa for machine learning engineers in Washington, as the role consistently qualifies as a specialty occupation requiring a relevant bachelor's degree or higher in computer science, statistics, or a related field. Candidates with an approved I-140 may also work under H-1B extensions beyond the six-year cap. Australians may qualify for the E-3 visa, and Canadians and Mexicans may qualify under TN status in applicable engineering categories.
Which cities in Washington have the most machine learning engineer sponsorship jobs?
Seattle and Redmond account for the largest share of machine learning engineer sponsorship jobs in Washington. Bellevue and Kirkland also see strong demand, particularly from Amazon's and Google's satellite offices. Smaller but growing activity exists in Bothell and Issaquah, where biotech and defense technology companies have begun expanding their applied ML teams. Most open sponsored roles are concentrated within the Seattle metropolitan area.
How to find machine learning engineer visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify machine learning engineer roles in Washington without sifting through postings from employers who do not sponsor. You can search by state and role type to surface positions from companies actively hiring internationally. Migrate Mate focuses exclusively on sponsored roles, which saves significant time compared to scanning general job boards where sponsorship status is rarely stated upfront.
Are there state-specific factors that affect machine learning engineer sponsorship in Washington?
Washington has no state income tax, which affects prevailing wage comparisons since federal wage benchmarks are set against local cost-of-living data for the Seattle-Bellevue-Tacoma metro area. The University of Washington in Seattle produces a large pipeline of ML talent that major employers are already set up to sponsor. Washington's concentration of large tech employers also means many companies have established in-house immigration teams, which can simplify and accelerate the sponsorship process compared to employers doing it for the first time.
What is the prevailing wage for sponsored machine learning engineer 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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