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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Get Access To All JobsINTRODUCTION
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Senior ML/Gen AI Engineer
Introduction to the Team:
Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
We are the Strategic Partnerships & Affiliates team in the Expedia Product & Technology division of Expedia Group. We are building the next-generation, scalable B2B partnership platform that will power hundreds of thousands of demand partners across the industry ranging from big businesses and Enterprises to small bloggers, micro influencers and creators in helping them recommend Expedia Group brands to their audiences and in the process grow their businesses. We aim to redefine the travel partnerships sector by building innovative partner tools and solutions that incorporates the new ways in which today’s travelers discover and shop travel products. To do this, we need technically passionate engineers with an entrepreneurial approach who love challenges, enjoy problem solving and take pride in delivering best-in-class products. You will work with a geo-distributed, cross functional team of 50+ engineers designing and developing solutions for complex problems with a wide-reaching business impact.
In this role, you will:
- Collaborate closely with ML Scientists to productize and scale ML models, from experimentation to robust production systems
- Design, build, and own large-scale, distributed machine learning systems for training, deployment, inference, and monitoring
- Lead design discussions and architecture reviews; drive high-impact engineering decisions for ML platforms and applications
- Mentor and coach junior engineers and peers on best practices in ML engineering, system design, and code quality
- Develop and maintain reusable components, libraries, and tools to accelerate ML development lifecycle
- Proactively identify areas for improvement in model performance, pipeline efficiency, data quality, or platform capabilities
- Ensure scalability, observability, and fault-tolerance across all components of the ML stack
- Promote engineering excellence by advocating for best practices in testing, CI/CD, infrastructure-as-code, and monitoring
- Partner with stakeholders across Data Engineering, Product, Marketing, and Platform teams to align solutions with business goals
- Stay up to date on advancements in MLOps, ML frameworks, distributed systems, and apply learnings to improve systems and processes
Minimum Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 8+ years of experience in software/ML engineering with a proven track record of delivering ML solutions at scale
- Strong programming skills in modern languages such as Python, Scala, or Java
- Deep experience in building and maintaining production-grade ML pipelines and infrastructure
- Expertise in MLOps practices, including model lifecycle management, versioning, monitoring, and CI/CD for ML
- Experience with big data ecosystems (e.g., Spark, Hive, Databricks, Delta Lake) and streaming technologies
- Proficient in working with ML frameworks like TensorFlow, PyTorch, XGBoost, or similar
- Experience working in cloud-based environments (AWS, GCP, or Azure) and with infrastructure-as-code tools
- Hands-on experience with orchestration tools like Flyte, Airflow, Kubeflow, etc.
- Proficient in containerization and orchestration technologies like Docker and Kubernetes
Preferred Qualifications:
- Familiarity with advanced ML techniques, including deep learning, NLP, recommendation systems, and generative AI
- Experience designing or implementing multi-agent architectures for autonomous collaboration and decision-making
- Understanding of agent planning, memory, tool use, and self-reflection mechanisms
- Experience building basic ML models
- Experience with automated testing across different layers (unit, integration, functional)
The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in San Jose is $199,000.00 to $278,500.00. Employees in this role have the potential to increase their pay up to $318,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
INTRODUCTION
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Senior ML/Gen AI Engineer
Introduction to the Team:
Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
We are the Strategic Partnerships & Affiliates team in the Expedia Product & Technology division of Expedia Group. We are building the next-generation, scalable B2B partnership platform that will power hundreds of thousands of demand partners across the industry ranging from big businesses and Enterprises to small bloggers, micro influencers and creators in helping them recommend Expedia Group brands to their audiences and in the process grow their businesses. We aim to redefine the travel partnerships sector by building innovative partner tools and solutions that incorporates the new ways in which today’s travelers discover and shop travel products. To do this, we need technically passionate engineers with an entrepreneurial approach who love challenges, enjoy problem solving and take pride in delivering best-in-class products. You will work with a geo-distributed, cross functional team of 50+ engineers designing and developing solutions for complex problems with a wide-reaching business impact.
In this role, you will:
- Collaborate closely with ML Scientists to productize and scale ML models, from experimentation to robust production systems
- Design, build, and own large-scale, distributed machine learning systems for training, deployment, inference, and monitoring
- Lead design discussions and architecture reviews; drive high-impact engineering decisions for ML platforms and applications
- Mentor and coach junior engineers and peers on best practices in ML engineering, system design, and code quality
- Develop and maintain reusable components, libraries, and tools to accelerate ML development lifecycle
- Proactively identify areas for improvement in model performance, pipeline efficiency, data quality, or platform capabilities
- Ensure scalability, observability, and fault-tolerance across all components of the ML stack
- Promote engineering excellence by advocating for best practices in testing, CI/CD, infrastructure-as-code, and monitoring
- Partner with stakeholders across Data Engineering, Product, Marketing, and Platform teams to align solutions with business goals
- Stay up to date on advancements in MLOps, ML frameworks, distributed systems, and apply learnings to improve systems and processes
Minimum Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 8+ years of experience in software/ML engineering with a proven track record of delivering ML solutions at scale
- Strong programming skills in modern languages such as Python, Scala, or Java
- Deep experience in building and maintaining production-grade ML pipelines and infrastructure
- Expertise in MLOps practices, including model lifecycle management, versioning, monitoring, and CI/CD for ML
- Experience with big data ecosystems (e.g., Spark, Hive, Databricks, Delta Lake) and streaming technologies
- Proficient in working with ML frameworks like TensorFlow, PyTorch, XGBoost, or similar
- Experience working in cloud-based environments (AWS, GCP, or Azure) and with infrastructure-as-code tools
- Hands-on experience with orchestration tools like Flyte, Airflow, Kubeflow, etc.
- Proficient in containerization and orchestration technologies like Docker and Kubernetes
Preferred Qualifications:
- Familiarity with advanced ML techniques, including deep learning, NLP, recommendation systems, and generative AI
- Experience designing or implementing multi-agent architectures for autonomous collaboration and decision-making
- Understanding of agent planning, memory, tool use, and self-reflection mechanisms
- Experience building basic ML models
- Experience with automated testing across different layers (unit, integration, functional)
The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in San Jose is $199,000.00 to $278,500.00. Employees in this role have the potential to increase their pay up to $318,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
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.