Artificial Intelligence STEM OPT Jobs in Washington
Artificial intelligence F-1 STEM OPT sponsorship jobs in Washington are concentrated around Seattle and Redmond, where Microsoft, Amazon, Google, and a dense cluster of AI-focused startups actively file Labor Condition Applications for STEM-eligible roles. Washington's tech infrastructure and university research pipeline make it one of the most active states for AI sponsorship hiring.
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The CoreAI Platform and Tools organization is building transformative experiences that leverage the latest AI technology while upholding Microsoft’s commitment to ethical and responsible standards for Artificial Intelligence. The Responsible AI (RAI) service components you build will be accessed by hundreds of millions of consumers across the globe and will touch all facets of Artificial Intelligence. The Responsible AI team within this division is looking for an experienced Applied Scientist II and a Senior Applied Scientist with a proven track record to help tackle the challenges of enabling customers to leverage the latest advancements in AI responsibly.
Responsibilities
- Conduct supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback in the process, and conducting thorough evaluation of those.
- Work with tech lead on the design and implementation of Agent adversarial evaluations and safety mitigations, enabling agent creators to identify potential risks and apply appropriate safeguards to ensure the safety and security of Agents.
- You will collaborate closely with the Responsible AI engineering team to deliver these mitigations at scale for Responsible AI customers, refine existing implementations based on operational performance, and troubleshoot and resolve end-to-end issues.
Qualifications Required Qualifications:
- Bachelor's Degree in Computer Science, Computational Linguistics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Computer Science, Computational Linguistics, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Computer Science, Computational Linguistics, or related field
- 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:
- Master's Degree in Computer Science, Computational Linguistics, related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Computer Science, Computational Linguistics, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
- 2+ years of science experience owning feature design, model development, evaluation and deployment.
- 3+ years of science experience owning feature design, model development, evaluation and deployment. Full stack (client-to-service) development experience is a plus.
- Rich experience in machine learning, particularly in NLP and deep learning.
- Experience with language model training and evaluation is a big plus.
- Experience with research in Responsible AI is a big plus.
- Proficiency in programming languages such as Python, C#, and familiarity with machine learning frameworks including PyTorch and Triton.
- Experience with data processing and handling large datasets.
- Experience in engineering methodologies: Unit testing, Test Driven Development, DevOps, and a firm commitment to quality.
- Solid platform/API design, debugging and data analysis skills.
- Ability to work collaboratively in a team and communicate complex concepts effectively.
coreai
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Applied Sciences IC4 - 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:
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 CoreAI Platform and Tools organization is building transformative experiences that leverage the latest AI technology while upholding Microsoft’s commitment to ethical and responsible standards for Artificial Intelligence. The Responsible AI (RAI) service components you build will be accessed by hundreds of millions of consumers across the globe and will touch all facets of Artificial Intelligence. The Responsible AI team within this division is looking for an experienced Applied Scientist II and a Senior Applied Scientist with a proven track record to help tackle the challenges of enabling customers to leverage the latest advancements in AI responsibly.
Responsibilities
- Conduct supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback in the process, and conducting thorough evaluation of those.
- Work with tech lead on the design and implementation of Agent adversarial evaluations and safety mitigations, enabling agent creators to identify potential risks and apply appropriate safeguards to ensure the safety and security of Agents.
- You will collaborate closely with the Responsible AI engineering team to deliver these mitigations at scale for Responsible AI customers, refine existing implementations based on operational performance, and troubleshoot and resolve end-to-end issues.
Qualifications Required Qualifications:
- Bachelor's Degree in Computer Science, Computational Linguistics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Computer Science, Computational Linguistics, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Computer Science, Computational Linguistics, or related field
- 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:
- Master's Degree in Computer Science, Computational Linguistics, related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Computer Science, Computational Linguistics, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
- 2+ years of science experience owning feature design, model development, evaluation and deployment.
- 3+ years of science experience owning feature design, model development, evaluation and deployment. Full stack (client-to-service) development experience is a plus.
- Rich experience in machine learning, particularly in NLP and deep learning.
- Experience with language model training and evaluation is a big plus.
- Experience with research in Responsible AI is a big plus.
- Proficiency in programming languages such as Python, C#, and familiarity with machine learning frameworks including PyTorch and Triton.
- Experience with data processing and handling large datasets.
- Experience in engineering methodologies: Unit testing, Test Driven Development, DevOps, and a firm commitment to quality.
- Solid platform/API design, debugging and data analysis skills.
- Ability to work collaboratively in a team and communicate complex concepts effectively.
coreai
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Applied Sciences IC4 - 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:
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.
STEM OPT Artificial Intelligence Job Roles in Washington
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Search Artificial Intelligence Jobs in WashingtonArtificial Intelligence STEM OPT Sponsorship Jobs in Washington: Frequently Asked Questions
Which artificial intelligence companies sponsor F-1 STEM OPT visas in Washington?
Microsoft, Amazon, and Google have consistently filed Labor Condition Applications for AI and machine learning roles in Washington, making them among the most active STEM OPT sponsors in the state. Beyond those hyperscalers, mid-size AI companies such as Tableau (now part of Salesforce), Convoy, and numerous University of Washington spinouts also have documented sponsorship histories. Checking DOL LCA disclosure data by employer and occupation code gives the clearest picture of actual filing activity.
Which cities in Washington have the most artificial intelligence F-1 STEM OPT sponsorship jobs?
Seattle and Redmond account for the overwhelming share of AI STEM OPT sponsorship activity in Washington. Seattle's South Lake Union and Belltown corridors host Amazon's headquarters and dozens of AI startups, while Redmond is the base for Microsoft's AI and research divisions. Bellevue has grown significantly as a secondary tech hub, with several AI-focused firms establishing engineering offices there. Smaller concentrations exist near the University of Washington in the University District.
How do I find artificial intelligence F-1 STEM OPT sponsorship jobs in Washington?
Migrate Mate is built specifically for this search, it surfaces Washington AI roles where employers have verified LCA filing history for-eligible occupations, so you can filter by occupation code and see which companies have actively sponsored similar positions. Beyond Migrate Mate, reviewing DOL LCA disclosure filings by Washington-based employers under STEM degree classifications for computer and information research scientists or machine learning engineers gives a data-backed view of real sponsorship activity in artificial intelligence.
What types of artificial intelligence roles typically qualify for F-1 STEM OPT sponsorship in Washington?
Roles that align with STEM-designated Classification of Instructional Programs codes and require a directly related degree tend to qualify. In AI, this commonly includes machine learning engineer, data scientist, computer vision engineer, natural language processing researcher, AI infrastructure engineer, and research scientist positions. The role must be tied to a qualifying STEM degree field such as computer science, statistics, mathematics, or electrical engineering. Employers confirm the qualifying degree requirement when filing the LCA and E-Verify enrollment is mandatory for STEM OPT roles.
Are there state-specific considerations for F-1 STEM OPT sponsorship in AI roles in Washington?
Washington has no state income tax, which affects how compensation packages are structured but does not alter federal STEM OPT requirements. Because Washington is a major tech hub, competition for AI roles is high and employers who sponsor tend to have dedicated HR and immigration support teams familiar with STEM OPT compliance, including the mandatory E-Verify enrollment and the requirement that employers and students complete a formal training plan. Washington's proximity to Vancouver, BC also means some candidates weigh cross-border options, though STEM OPT is strictly a U.S. authorization.