Machine Learning Visa Sponsorship Jobs in Washington
Washington is one of the strongest states for machine learning visa sponsorship, driven by the Seattle metro's concentration of major tech employers. Microsoft, Amazon, Apple, and Meta all maintain significant ML research and engineering teams in the region, alongside a growing cluster of AI-focused startups and research labs that actively hire international talent.
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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 Job Roles in Washington
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Search Machine Learning Jobs in WashingtonMachine Learning Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Washington?
Microsoft and Amazon are the largest sponsors of machine learning talent in Washington, with substantial ML engineering and research teams based in the Seattle metro. Google, Apple, Meta, and Salesforce also maintain significant Washington offices with active ML hiring. Beyond the large tech companies, AI-focused firms like Tableau, Convoy, and various cloud infrastructure startups in the region have established sponsorship track records.
Which visa types are most common for machine learning roles in Washington?
The H-1B is the most common visa for machine learning engineers and researchers in Washington, as ML roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with exceptional research records may qualify for the O-1A. Australians can pursue the E-3, which has no lottery. Those with advanced degrees may also explore EB-1A or EB-2 NIW pathways for permanent residence.
Which cities in Washington have the most machine learning sponsorship jobs?
Seattle accounts for the overwhelming majority of machine learning sponsorship jobs in Washington, largely due to its concentration of major tech headquarters and engineering hubs. Redmond is significant given Microsoft's campus there. Bellevue has grown into a major tech corridor with Amazon and numerous AI startups. Kirkland hosts Google's engineering office. Outside the Puget Sound metro, opportunities are limited, making the Seattle area the clear focal point for ML job seekers.
How to find machine learning visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international job seekers looking for visa sponsorship, and you can filter directly for machine learning roles in Washington. Unlike general job boards, Migrate Mate focuses on employers with documented sponsorship history, which saves significant time when you need to know upfront whether a company will support your visa. Searching by role and state on Migrate Mate gives you a targeted list of relevant Washington ML openings.
Are there any Washington-specific factors that affect machine learning visa sponsorship?
Washington has no state income tax, which affects prevailing wage benchmarks and overall compensation packages that employers must meet under H-1B Labor Condition Application requirements. The University of Washington's Paul G. Allen School of Computer Science is a significant pipeline for ML talent, meaning many employers in the region are accustomed to sponsoring OPT and then H-1B for new graduates. Washington's tech sector concentration also means immigration attorneys and HR teams experienced with sponsorship are widely available.
What is the prevailing wage for sponsored machine learning 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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