Finance Jobs in Washington with H-1B1 Sponsorship
Washington's finance sector, anchored by major banks, investment firms, and fintech companies headquartered in Seattle and Bellevue, actively hires international professionals. Employers like JPMorgan Chase, Amazon's financial divisions, and regional firms such as HomeStreet Bank and Banner Bank have sponsored H-1B1 visas for Chilean and Singaporean nationals in qualifying specialty occupation roles.
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Get Access To All JobsINTRODUCTION
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
ABOUT THE TEAM
Stripe processes over $1T in payments volume per year, which is roughly 1% of the world’s GDP. The tremendous amount of data makes Stripe one of the best places to do machine learning. The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications. With the phenomenal developments happening in the field of AI, we are positioned to accelerate the adoption of AI/ML across all parts of the company by building highly scalable and reliable foundational infrastructure.
WHAT YOU’LL DO
You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company.
Responsibilities
- Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions.
- Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems.
- Working directly with product teams and ML engineers to improve their day-to-day productivity.
- Taking ownership of and finding solutions for technical and product challenges by working with a diverse set of systems, processes, and technologies.
WHO YOU ARE
We’re looking for people with a strong background or interest in building successful products or systems; you’re passionate about solving business problems and making impact, you are comfortable in dealing with lots of moving pieces; and you’re comfortable learning new technologies and systems. You are comfortable working with other Stripe teams across the US and Canada.
MINIMUM REQUIREMENTS
- 2+ years of professional software development experience with a solid background on service oriented architecture and large-scale distributed systems
- Experience working through the full life cycle of software development, from talking to users, to design and implementation, to testing and deployment, to operations
- Experience working on production ML platforms, MLOps solutions, or building LLM applications
- Experience running operations for high availability, low latency systems
- Experience partnering with other teams to drive business outcomes
- A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course
PREFERRED QUALIFICATIONS
- Experience building and shipping production AI agents
- Familiarity with the LLMs and LLM Frameworks
- Experience training and shipping machine learning models to production to solve critical business problems
INTRODUCTION
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
ABOUT THE TEAM
Stripe processes over $1T in payments volume per year, which is roughly 1% of the world’s GDP. The tremendous amount of data makes Stripe one of the best places to do machine learning. The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications. With the phenomenal developments happening in the field of AI, we are positioned to accelerate the adoption of AI/ML across all parts of the company by building highly scalable and reliable foundational infrastructure.
WHAT YOU’LL DO
You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company.
Responsibilities
- Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions.
- Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems.
- Working directly with product teams and ML engineers to improve their day-to-day productivity.
- Taking ownership of and finding solutions for technical and product challenges by working with a diverse set of systems, processes, and technologies.
WHO YOU ARE
We’re looking for people with a strong background or interest in building successful products or systems; you’re passionate about solving business problems and making impact, you are comfortable in dealing with lots of moving pieces; and you’re comfortable learning new technologies and systems. You are comfortable working with other Stripe teams across the US and Canada.
MINIMUM REQUIREMENTS
- 2+ years of professional software development experience with a solid background on service oriented architecture and large-scale distributed systems
- Experience working through the full life cycle of software development, from talking to users, to design and implementation, to testing and deployment, to operations
- Experience working on production ML platforms, MLOps solutions, or building LLM applications
- Experience running operations for high availability, low latency systems
- Experience partnering with other teams to drive business outcomes
- A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course
PREFERRED QUALIFICATIONS
- Experience building and shipping production AI agents
- Familiarity with the LLMs and LLM Frameworks
- Experience training and shipping machine learning models to production to solve critical business problems
Job Roles in Finance in Washington
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Get Access To All JobsFrequently Asked Questions
Which finance companies sponsor H-1B1 visas in Washington?
Washington-based finance employers that have sponsored H-1B1 visas include large national banks with Seattle operations such as JPMorgan Chase and Wells Fargo, financial arms of major tech companies headquartered in the state, and regional institutions like HomeStreet Bank. Fintech firms concentrated in the Seattle-Bellevue corridor also appear in Department of Labor H-1B1 Labor Condition Application disclosures as repeat sponsors.
Which cities in Washington have the most finance H-1B1 sponsorship jobs?
Seattle concentrates the largest share of finance H-1B1 roles in Washington, driven by its density of corporate headquarters, investment offices, and fintech startups. Bellevue is a close second, particularly for financial technology and analytics positions. Redmond and Kirkland also have finance openings tied to technology-adjacent financial operations, while Spokane has a smaller but active regional banking presence.
What types of finance roles typically qualify for H-1B1 sponsorship?
Roles that consistently qualify as specialty occupations under H-1B1 include financial analysts, quantitative analysts, risk management specialists, compliance officers, investment analysts, and corporate treasury analysts. These positions generally require at least a bachelor's degree in finance, economics, accounting, or a directly related field. Generalist roles where no specific degree field is required are less likely to meet the specialty occupation standard.
How do I find finance H-1B1 sponsorship jobs in Washington?
Migrate Mate lists finance jobs in Washington specifically filtered for H-1B1 visa sponsorship, covering roles at banks, investment firms, and fintech companies across Seattle, Bellevue, and beyond. Because H-1B1 is exclusive to Chilean and Singaporean nationals, Migrate Mate's filters help you identify employers already familiar with this visa category rather than applying broadly to companies with no H-1B1 history.
Are there any Washington-specific considerations for finance H-1B1 sponsorship?
Washington has no state income tax, which affects total compensation discussions but does not change federal H-1B1 prevailing wage requirements. Employers must still file a Labor Condition Application certifying the offered wage meets Department of Labor prevailing wage levels for the specific role and location. Seattle's designated Metropolitan Statistical Area is used for prevailing wage calculations, so roles in Bellevue or Redmond typically reference the same wage benchmark as Seattle proper.
What is the prevailing wage for H-1B1 finance 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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