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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What if you could build the machine learning systems that decide which ads hundreds of millions of shoppers see—across every Amazon surface, worldwide?
The Sponsored Products and Brands - General Shopping Intelligence is looking for a talented Software Engineer with a strong machine learning engineering background to help us push the boundaries of ad relevance at Amazon scale. You'll partner with engineers and scientists to build advanced ML models and infrastructure—from training to inference—including emerging LLM-based systems that connect shoppers with the most relevant ads at exactly the right moment.
We're a highly motivated, collaborative team with a strong entrepreneurial spirit and bias for action. If you thrive in fast-moving environments where your work directly drives business growth and customer experience, this is where you'll do your best work.
Key job responsibilities
As a Software Development Engineer in Machine Learning, you will:
- Design, build, and operate near-real-time (NRT) data ingestion pipelines using Apache Flink, Kinesis, and DynamoDB that process shopper behavioral signals at scale (100K+ TPS, sub-second latency)
- Develop and maintain ML feature generation services that transform raw customer interactions into ML-ready signals consumed by prediction models across Amazon Ads
- Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
- Build and improve data quality monitoring frameworks, automated alerting, and self-healing mechanisms to ensure signal reliability at 99.9%+ availability
- Collaborate with applied scientists and partner engineering teams to onboard new shopper signals, define feature schemas, and optimize serving latency for real-time ad personalization
- Contribute to system design discussions, propose technical solutions for ambiguous problems, and drive implementation end-to-end with guidance from senior engineers
A day in the life
- Highly analytical — You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making
- Humbitious — Ambitious yet humble; you use introspection and feedback to continuously raise the bar
- Engaged by ambiguity — You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
BASIC QUALIFICATIONS
- 2+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
PREFERRED QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
DESCRIPTION
What if you could build the machine learning systems that decide which ads hundreds of millions of shoppers see—across every Amazon surface, worldwide?
The Sponsored Products and Brands - General Shopping Intelligence is looking for a talented Software Engineer with a strong machine learning engineering background to help us push the boundaries of ad relevance at Amazon scale. You'll partner with engineers and scientists to build advanced ML models and infrastructure—from training to inference—including emerging LLM-based systems that connect shoppers with the most relevant ads at exactly the right moment.
We're a highly motivated, collaborative team with a strong entrepreneurial spirit and bias for action. If you thrive in fast-moving environments where your work directly drives business growth and customer experience, this is where you'll do your best work.
Key job responsibilities
As a Software Development Engineer in Machine Learning, you will:
- Design, build, and operate near-real-time (NRT) data ingestion pipelines using Apache Flink, Kinesis, and DynamoDB that process shopper behavioral signals at scale (100K+ TPS, sub-second latency)
- Develop and maintain ML feature generation services that transform raw customer interactions into ML-ready signals consumed by prediction models across Amazon Ads
- Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
- Build and improve data quality monitoring frameworks, automated alerting, and self-healing mechanisms to ensure signal reliability at 99.9%+ availability
- Collaborate with applied scientists and partner engineering teams to onboard new shopper signals, define feature schemas, and optimize serving latency for real-time ad personalization
- Contribute to system design discussions, propose technical solutions for ambiguous problems, and drive implementation end-to-end with guidance from senior engineers
A day in the life
- Highly analytical — You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making
- Humbitious — Ambitious yet humble; you use introspection and feedback to continuously raise the bar
- Engaged by ambiguity — You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
BASIC QUALIFICATIONS
- 2+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
PREFERRED QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
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 visa 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 visa, 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.