Senior ML Engineer Visa Sponsorship Jobs in Washington
Washington is one of the most active states for senior ML engineer visa sponsorship, driven by major tech employers in Seattle and Redmond including Microsoft, Amazon, and Google. The Eastside corridor and Seattle's South Lake Union neighborhood concentrate hiring, with additional opportunities at aerospace and cloud infrastructure companies across the Puget Sound 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.
Senior ML Engineer Job Roles in Washington
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Search Senior ML Engineer Jobs in WashingtonSenior ML Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for senior ML engineers in Washington?
Microsoft and Amazon are the largest sponsors of senior ML engineer roles in Washington, with significant hiring in Redmond and Seattle respectively. Google, Meta, Apple, and Salesforce maintain offices in the region and regularly file H-1B visa petitions for senior ML talent. Expedia, T-Mobile, and Boeing also sponsor ML engineers, alongside a growing number of AI-focused startups in the Seattle tech ecosystem.
Which visa types are most common for senior ML engineer roles in Washington?
The H-1B is by far the most common visa for senior ML engineers in Washington, given that the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. L-1B visas are used for intracompany transfers, particularly at large multinationals like Microsoft and Amazon. Candidates with extraordinary ability may qualify for the O-1A, which has no annual cap.
Which cities in Washington have the most senior ML engineer sponsorship jobs?
Seattle and Redmond together account for the vast majority of senior ML engineer sponsorship jobs in Washington. Seattle's South Lake Union and Capitol Hill neighborhoods host Amazon, Meta, and numerous startups, while Redmond is anchored by Microsoft's global headquarters. Bellevue and Kirkland on the Eastside have grown significantly, with Google and several mid-sized tech firms establishing substantial engineering presences there.
How to find senior ml engineer visa sponsorship jobs in Washington?
Migrate Mate filters senior ML engineer jobs in Washington specifically by visa sponsorship availability, saving you from sifting through listings where sponsorship is unclear. You can search by role and state to surface employers actively hiring sponsored candidates in Seattle, Redmond, and Bellevue. Because ML engineering is highly competitive in Washington, filtering for confirmed sponsorship roles helps you focus your applications on realistic opportunities.
Are there any Washington-specific considerations for senior ML engineers seeking visa sponsorship?
Washington has no state income tax, which affects prevailing wage calculations and overall compensation benchmarking used in H-1B Labor Condition Applications. The University of Washington and Washington State University produce significant ML research talent, creating a competitive local pipeline that influences employer sponsorship decisions. Washington's concentration of large tech employers also means many companies have established immigration programs and legal teams experienced with senior engineering visa filings.
What is the prevailing wage for sponsored senior ml engineer 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.