Scientist Visa Sponsorship Jobs in Washington
Scientist visa sponsorship jobs in Washington are concentrated in the Seattle metro, where employers like the Fred Hutchinson Cancer Center, Allen Institute, Pacific Northwest National Laboratory, and major biotech firms in the South Lake Union corridor actively hire international researchers. The state's life sciences and clean energy sectors make it one of the most active markets for sponsored scientist roles.
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Amazon is looking for an Applied Scientist to help build next generation selection/assortment systems. On the Specialized Selection team within the Supply Chain Optimization Technologies (SCOT) organization, we own the selection of the products that Amazon offers in our limited shelf assortment problems world wide. This includes products for our fastest delivery, perishable grocery offerings, and other emerging Amazon delivery programs. The selection is generated with a series of Machine Learning (ML) and optimization models to best cater to customer purchase intents under limited warehouse capacity. We build tools and systems that enable our partners and business owners to scale themselves by leveraging our problem domain expertise, focusing instead on introspecting our outputs and iteratively helping us improve our models rather than hand-managing their assortment. We partner closely with our business stakeholders as we work to develop state-of-the-art, scalable, automated selection management systems.
As an Applied Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including supervised and unsupervised machine learning, large language models, mixed integer linear programs (MILPs), reinforcement learning, causal inference, and experiment designs. Some critical research areas in our space include modeling substitutability between similar products, complementarity and basket building, measuring speed sensitivity of products through experiments, optimizing assortment under operational and capacity constraints, and supply and demand forecasting.
Key job responsibilities
You will be an end-to-end owner for the projects you support. Responsibilities include:
- Understanding business requirements and existing challenges and map them to the right scientific solution
- Designing effective, scalable, and achievable solutions to key business problems
- Developing the right set of metrics to evaluate efficacy of your models and solutions
- Prototyping and analyzing new models and business logic
- Productionizing your scientific solutions, including writing production-quality critical path code
- Communicating, both written and verbally, with both technical and business audiences throughout each project
- Publishing findings in internal and/or external conferences and interfacing with the scientific community
- Mentoring and developing the scientist community across the organization
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- PhD in operations research, applied mathematics, theoretical computer science, or equivalent
- Experience in professional software development
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, Bellevue
COMPENSATION
- Salary Range: 142,800.00 - 193,200.00 USD annually
DESCRIPTION
Amazon is looking for an Applied Scientist to help build next generation selection/assortment systems. On the Specialized Selection team within the Supply Chain Optimization Technologies (SCOT) organization, we own the selection of the products that Amazon offers in our limited shelf assortment problems world wide. This includes products for our fastest delivery, perishable grocery offerings, and other emerging Amazon delivery programs. The selection is generated with a series of Machine Learning (ML) and optimization models to best cater to customer purchase intents under limited warehouse capacity. We build tools and systems that enable our partners and business owners to scale themselves by leveraging our problem domain expertise, focusing instead on introspecting our outputs and iteratively helping us improve our models rather than hand-managing their assortment. We partner closely with our business stakeholders as we work to develop state-of-the-art, scalable, automated selection management systems.
As an Applied Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including supervised and unsupervised machine learning, large language models, mixed integer linear programs (MILPs), reinforcement learning, causal inference, and experiment designs. Some critical research areas in our space include modeling substitutability between similar products, complementarity and basket building, measuring speed sensitivity of products through experiments, optimizing assortment under operational and capacity constraints, and supply and demand forecasting.
Key job responsibilities
You will be an end-to-end owner for the projects you support. Responsibilities include:
- Understanding business requirements and existing challenges and map them to the right scientific solution
- Designing effective, scalable, and achievable solutions to key business problems
- Developing the right set of metrics to evaluate efficacy of your models and solutions
- Prototyping and analyzing new models and business logic
- Productionizing your scientific solutions, including writing production-quality critical path code
- Communicating, both written and verbally, with both technical and business audiences throughout each project
- Publishing findings in internal and/or external conferences and interfacing with the scientific community
- Mentoring and developing the scientist community across the organization
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- PhD in operations research, applied mathematics, theoretical computer science, or equivalent
- Experience in professional software development
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, Bellevue
COMPENSATION
- Salary Range: 142,800.00 - 193,200.00 USD annually
Scientist Job Roles in Washington
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Search Scientist Jobs in WashingtonScientist Jobs in Washington: Frequently Asked Questions
Which companies in Washington sponsor visas for scientist roles?
Major sponsors for scientist positions in Washington include Fred Hutchinson Cancer Center, Allen Institute, Pacific Northwest National Laboratory (PNNL), University of Washington, Juno Therapeutics, and Novo Nordisk. Large technology firms with significant research divisions, including Microsoft and Amazon, also sponsor scientists. Washington's biotech corridor along South Lake Union and the Eastside has a high concentration of companies with established sponsorship infrastructure.
Which visa types are most common for scientist jobs in Washington?
H-1B visa is the most common visa for scientist roles in Washington, particularly for positions requiring a bachelor's or higher degree in a specific scientific field. O-1A visas are used for scientists with extraordinary achievement, such as published researchers or award recipients. Research-focused roles at universities and national labs like PNNL may also involve J-1 visas for postdoctoral and exchange positions.
How to find scientist visa sponsorship jobs in Washington?
Migrate Mate is designed specifically for international job seekers and filters scientist roles in Washington by visa sponsorship history, making it easier to identify employers who have sponsored foreign workers before. You can search by role type and state to surface relevant openings at biotech firms, research institutes, and national laboratories across Seattle, Richland, and the broader Washington market.
Which cities in Washington have the most scientist visa sponsorship jobs?
Seattle has the highest concentration of sponsored scientist positions, driven by its biotech and life sciences cluster in South Lake Union and the University District. Richland is significant due to Pacific Northwest National Laboratory, one of the largest research employers in the state. Bellevue and Redmond on the Eastside also have research roles tied to technology companies with active sponsorship programs.
Are there state-specific factors that affect scientist visa sponsorship in Washington?
Washington's lack of a state income tax can make total compensation more competitive relative to other research hubs, which influences how employers structure offers for sponsored scientists. The state has a strong university pipeline through the University of Washington, producing OPT-eligible graduates who often transition to H-1B sponsorship. PNNL's federal affiliation means some positions require additional security clearance considerations that can affect sponsorship eligibility.
What is the prevailing wage for sponsored 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.