Machine Learning Scientist Visa Sponsorship Jobs in Washington
Washington is one of the most active states for machine learning scientist visa sponsorship, driven by major tech employers in the Seattle metro including Microsoft, Amazon, Apple, and Google. Bellevue and Redmond anchor the hiring corridor, with additional demand from cloud infrastructure, autonomous systems, and biotech research teams across the region.
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Get Access To All JobsWhy Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Overview: We are seeking an accomplished Senior Staff ML Engineer who will serve as a technical leader for Generative AI applications at GEICO. In this individual contributor role, you will be collaborating with a dynamic team of AI and software engineers to design, develop, and deploy systems that ensure scalability, reliability and usability of generative AI solutions, applications, and workflows across the organization which drive business value using LLM, agentic, and knowledge-search capabilities as their foundation. You bring a passion for providing hands-on guidance, ensuring architectural and technical excellence and best practices, serving as a source of thought leadership, and leading by example to solve complex, large-scale, cross-functional problems.
Responsibilities:
- Own end-to-end design, development, and maintenance of high-performance AI solutions that use agentic workflows to deliver concrete business value for internal stakeholders and customer-facing applications. Examples include AI agent orchestration, conversational AI solutions, knowledge assistants, process assistance and automation, etc.
- Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, and designers to gather requirements, define project scope and prioritize feature development. Establish pragmatic technical visions and roadmaps that balance business outcomes, product release timelines, and engineering excellence.
- Integrate and build solutions using GEICO’s AI platform architecture. Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform feature roadmaps and development.
- Ideate, define, and build first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
- Drive the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
- Take ownership in project planning and stakeholder management, driving technical alignment, ensuring efficient resource allocation, and timely delivery of solutions.
- Mentor and guide junior engineers via code reviews and design sessions, establish and enforce best practices, and foster a collaborative and high-performance team culture.
Basic Qualifications
- 8+ years of experience designing and building scalable production AI/ML applications and systems in cloud environments
- 5+ years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AI/ML applications.
- 5+ years of experience with training, finetuning, real-time/batch inferencing, and evaluation systems for AI/ML models and LLMs used in production systems
- 5+ years of experience managing the end-to-end software development life cycle (e.g. CI/CD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for Generative AI applications, backend systems, and APIs
- Experience using frameworks to build LLM-based agentic workflows such LangSmith/LangGraph or similar
- Experience using typical agentic communication standards such as A2A, MCP, and similar to design, architect, and build working multi-agent applications
- Proficient in Python, Java or similar general-purpose programming languages.
- Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field
Preferred Qualifications:
- 5+ years interfacing directly with internal business stakeholders and/or external stakeholders on AI/ML initiatives
- Extensive experience using cloud provider solutions such as Azure and AWS to deploy and maintain AI/ML products
- Extensive experience using tools that power production-grade LLM-based AI agents, such as eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.
- Experience building products with LLM-based AI agent workflows via both no code/low code and traditional high-code development environments
- Experience with agentic workflows to solve problems in the insurance domain
- Strong communication and problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments
Annual Salary
$150,000.00 - $300,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Overview: We are seeking an accomplished Senior Staff ML Engineer who will serve as a technical leader for Generative AI applications at GEICO. In this individual contributor role, you will be collaborating with a dynamic team of AI and software engineers to design, develop, and deploy systems that ensure scalability, reliability and usability of generative AI solutions, applications, and workflows across the organization which drive business value using LLM, agentic, and knowledge-search capabilities as their foundation. You bring a passion for providing hands-on guidance, ensuring architectural and technical excellence and best practices, serving as a source of thought leadership, and leading by example to solve complex, large-scale, cross-functional problems.
Responsibilities:
- Own end-to-end design, development, and maintenance of high-performance AI solutions that use agentic workflows to deliver concrete business value for internal stakeholders and customer-facing applications. Examples include AI agent orchestration, conversational AI solutions, knowledge assistants, process assistance and automation, etc.
- Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, and designers to gather requirements, define project scope and prioritize feature development. Establish pragmatic technical visions and roadmaps that balance business outcomes, product release timelines, and engineering excellence.
- Integrate and build solutions using GEICO’s AI platform architecture. Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform feature roadmaps and development.
- Ideate, define, and build first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
- Drive the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
- Take ownership in project planning and stakeholder management, driving technical alignment, ensuring efficient resource allocation, and timely delivery of solutions.
- Mentor and guide junior engineers via code reviews and design sessions, establish and enforce best practices, and foster a collaborative and high-performance team culture.
Basic Qualifications
- 8+ years of experience designing and building scalable production AI/ML applications and systems in cloud environments
- 5+ years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AI/ML applications.
- 5+ years of experience with training, finetuning, real-time/batch inferencing, and evaluation systems for AI/ML models and LLMs used in production systems
- 5+ years of experience managing the end-to-end software development life cycle (e.g. CI/CD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for Generative AI applications, backend systems, and APIs
- Experience using frameworks to build LLM-based agentic workflows such LangSmith/LangGraph or similar
- Experience using typical agentic communication standards such as A2A, MCP, and similar to design, architect, and build working multi-agent applications
- Proficient in Python, Java or similar general-purpose programming languages.
- Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field
Preferred Qualifications:
- 5+ years interfacing directly with internal business stakeholders and/or external stakeholders on AI/ML initiatives
- Extensive experience using cloud provider solutions such as Azure and AWS to deploy and maintain AI/ML products
- Extensive experience using tools that power production-grade LLM-based AI agents, such as eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.
- Experience building products with LLM-based AI agent workflows via both no code/low code and traditional high-code development environments
- Experience with agentic workflows to solve problems in the insurance domain
- Strong communication and problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments
Annual Salary
$150,000.00 - $300,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Machine Learning Scientist Job Roles in Washington
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Search Machine Learning Scientist Jobs in WashingtonMachine Learning Scientist Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for machine learning scientists in Washington?
Microsoft, Amazon, Google, Apple, and Meta have consistent histories of sponsoring work visas for machine learning scientists in Washington, particularly through their Seattle and Redmond campuses. Beyond the major tech firms, companies like Zillow, Expedia, T-Mobile, and a growing number of AI-focused startups in the Seattle area also sponsor qualified candidates for these roles regularly.
Which visa types are most common for machine learning scientist roles in Washington?
The H-1B visa is the most common visa category for machine learning scientists in Washington, as the role typically requires a master's or doctoral degree in computer science, statistics, or a closely related field, satisfying the specialty occupation requirement. Candidates with advanced degrees from U.S. universities may be eligible for the H-1B cap exemption under the master's cap. The O-1A is an alternative for candidates with demonstrated exceptional ability, such as published research or significant industry recognition.
Which cities in Washington have the most machine learning scientist sponsorship jobs?
Seattle and Redmond account for the large majority of machine learning scientist sponsorship activity in Washington. Microsoft's Redmond headquarters and Amazon's Seattle campus are among the highest-volume H-1B filers nationally for this role type. Bellevue has grown significantly as a secondary hub, with several large tech employers maintaining engineering offices there. Kirkland also has meaningful presence, particularly through Google's local engineering campus.
How to find machine learning scientist visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles, and filters directly for machine learning scientist positions in Washington. Because sponsorship willingness is not always stated in standard job postings, using a platform that surfaces verified sponsoring employers saves significant time. Migrate Mate aggregates active openings from companies with documented sponsorship histories, so you can focus your applications on roles where sponsorship is a realistic possibility.
Are there any Washington-specific factors that affect machine learning scientist sponsorship?
Washington has no state income tax, which affects prevailing wage calculations under Department of Labor methodology since compensation structures here often include equity heavily weighted against base salary. University of Washington is a significant pipeline for machine learning talent, and its OPT and STEM OPT graduates frequently enter sponsorship processes with Seattle-area employers. Washington's concentration of large tech employers also means more cap-exempt H-1B filings through institutions affiliated with nonprofits or universities, though this is role and employer dependent.
What is the prevailing wage for sponsored machine learning scientist 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.