Science & Research E-3 Sponsorship Jobs in Washington
Science and research E-3 visa sponsorship jobs in Washington are concentrated around Seattle's life sciences corridor, with major employers including the Fred Hutchinson Cancer Center, University of Washington, Allen Institute, and global tech firms running applied research divisions. Roles span computational biology, environmental science, clinical research, and materials science across Seattle, Bellevue, and the Puget Sound region.
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Get Access To All JobsAbout The Team
The Intelligence and Investigations team is dedicated to ensuring the safe, responsible deployment of AI by rapidly detecting and mitigating abuse. Our team leverages the latest testing methodologies to uncover vulnerabilities and emerging threats, helping safeguard OpenAI’s products and users. We work closely with cross-functional partners across product, policy, and engineering to drive a comprehensive defense strategy against evolving adversarial challenges.
About The Role
As a Red Team Specialist focused on cyber, you will help answer two practical questions: What cyber capabilities can our models provide to real-world attackers, and do our safeguards remain effective when those attackers use increasingly sophisticated techniques? The role combines scaled evaluation with expert-driven testing. You may bring deeper experience in cybersecurity and use that expertise to judge whether a model’s behavior meaningfully changes attacker capability. Alternatively, you may bring deeper experience in model evaluations, automation, or agentic harnesses and apply those skills to building rigorous cyber testing. We do not expect every candidate to be equally deep in both areas, but successful candidates will have a strong foundation in one and enough fluency in the other to work effectively across the boundary. Most of your work will focus on model cyber capabilities and safeguards; you will also spend a portion of your time testing novel abuse risks in agentic systems. This role is located in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In This Role, You Will
- Design and run rigorous evaluations of model cyber capabilities and safeguards, including policy adherence, correct refusal, over refusal, and resilience to jailbreaking and other adversarial techniques.
- Conduct hands-on testing to understand what models can enable when used by experienced security practitioners, including through task-specific harnesses, scaffolding, and multi-step workflows.
- Distinguish benchmark or policy failures from behavior that creates meaningful real-world risk, considering feasibility, attacker uplift, reliability, and the capabilities already available elsewhere.
- Build and improve automated testing infrastructure that supports repeatable measurement, rapid iteration, and statistically grounded analysis across models and product surfaces.
- Test novel abuse risks in agentic systems, including indirect prompt injection, agent hijacking, and other ways adversaries may manipulate systems that use tools or act on external information.
- Translate findings into clear risk assessments and actionable recommendations for Security, Research, Product, Policy, and Engineering partners.
- Contribute a portion of your time to Safety Bug Bounty work, particularly where reports require cyber expertise.
You Might Thrive In This Role If You
Bring substantial depth in at least one of the following areas:
- Cybersecurity, such as application security, penetration testing, vulnerability research, adversary simulation, or red-team operations. You can assess whether a demonstrated capability is reliable, feasible, and meaningfully dangerous.
- AI model evaluation, such as designing and running evals, building agentic harnesses, automating adversarial testing, constructing datasets, or analyzing model behavior at scale. You can turn an ambiguous risk question into a reproducible testing approach.
Across Either Profile, You Should Also Have
- Working literacy across both cybersecurity and model evaluation, with an interest in developing further depth outside your primary area.
- The ability to write code and build practical testing tools, particularly for automating experiments, orchestrating models, or analyzing results.
- An attacker mindset and an interest in discovering failure modes that standard evaluations may not capture.
- Clear written and verbal communication, including the ability to explain technical findings, limitations, and risk to audiences with different backgrounds.
- Experience working across technical and non-technical teams to move from a finding to a decision, mitigation, or follow-up test.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Range: $198K - $320K
About The Team
The Intelligence and Investigations team is dedicated to ensuring the safe, responsible deployment of AI by rapidly detecting and mitigating abuse. Our team leverages the latest testing methodologies to uncover vulnerabilities and emerging threats, helping safeguard OpenAI’s products and users. We work closely with cross-functional partners across product, policy, and engineering to drive a comprehensive defense strategy against evolving adversarial challenges.
About The Role
As a Red Team Specialist focused on cyber, you will help answer two practical questions: What cyber capabilities can our models provide to real-world attackers, and do our safeguards remain effective when those attackers use increasingly sophisticated techniques? The role combines scaled evaluation with expert-driven testing. You may bring deeper experience in cybersecurity and use that expertise to judge whether a model’s behavior meaningfully changes attacker capability. Alternatively, you may bring deeper experience in model evaluations, automation, or agentic harnesses and apply those skills to building rigorous cyber testing. We do not expect every candidate to be equally deep in both areas, but successful candidates will have a strong foundation in one and enough fluency in the other to work effectively across the boundary. Most of your work will focus on model cyber capabilities and safeguards; you will also spend a portion of your time testing novel abuse risks in agentic systems. This role is located in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In This Role, You Will
- Design and run rigorous evaluations of model cyber capabilities and safeguards, including policy adherence, correct refusal, over refusal, and resilience to jailbreaking and other adversarial techniques.
- Conduct hands-on testing to understand what models can enable when used by experienced security practitioners, including through task-specific harnesses, scaffolding, and multi-step workflows.
- Distinguish benchmark or policy failures from behavior that creates meaningful real-world risk, considering feasibility, attacker uplift, reliability, and the capabilities already available elsewhere.
- Build and improve automated testing infrastructure that supports repeatable measurement, rapid iteration, and statistically grounded analysis across models and product surfaces.
- Test novel abuse risks in agentic systems, including indirect prompt injection, agent hijacking, and other ways adversaries may manipulate systems that use tools or act on external information.
- Translate findings into clear risk assessments and actionable recommendations for Security, Research, Product, Policy, and Engineering partners.
- Contribute a portion of your time to Safety Bug Bounty work, particularly where reports require cyber expertise.
You Might Thrive In This Role If You
Bring substantial depth in at least one of the following areas:
- Cybersecurity, such as application security, penetration testing, vulnerability research, adversary simulation, or red-team operations. You can assess whether a demonstrated capability is reliable, feasible, and meaningfully dangerous.
- AI model evaluation, such as designing and running evals, building agentic harnesses, automating adversarial testing, constructing datasets, or analyzing model behavior at scale. You can turn an ambiguous risk question into a reproducible testing approach.
Across Either Profile, You Should Also Have
- Working literacy across both cybersecurity and model evaluation, with an interest in developing further depth outside your primary area.
- The ability to write code and build practical testing tools, particularly for automating experiments, orchestrating models, or analyzing results.
- An attacker mindset and an interest in discovering failure modes that standard evaluations may not capture.
- Clear written and verbal communication, including the ability to explain technical findings, limitations, and risk to audiences with different backgrounds.
- Experience working across technical and non-technical teams to move from a finding to a decision, mitigation, or follow-up test.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Range: $198K - $320K
E-3 Science & Research Job Roles in Washington
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Search Science & Research Jobs in WashingtonScience & Research E-3 Sponsorship Jobs in Washington: Frequently Asked Questions
Which science and research companies sponsor E-3 visas in Washington?
Washington's science and research sector includes several employers with established international hiring records. The Fred Hutchinson Cancer Center, Allen Institute for Brain Science, Seattle Children's Research Institute, and University of Washington are prominent research institutions. On the industry side, companies like Microsoft Research, Amazon Science, and Novo Nordisk have Washington-based research operations and documented histories of sponsoring work visas for qualified international candidates.
Which cities in Washington have the most science and research E-3 sponsorship jobs?
Seattle holds the largest concentration, anchored by its medical research institutions, university ecosystem, and tech-adjacent science divisions along the South Lake Union corridor. Bellevue has grown as a secondary hub, particularly for applied and computational research roles tied to large technology employers. Redmond and Bothell also have notable presences in biotech and pharmaceutical research, with Bothell housing several life sciences manufacturing and R&D operations.
What types of science and research roles typically qualify for E-3 sponsorship?
E-3 visa eligibility requires the position to qualify as a specialty occupation, meaning it must typically require a bachelor's degree or higher in a specific field. In Washington's science sector, roles that commonly meet this standard include research scientists, computational biologists, biostatisticians, environmental scientists, clinical research associates, and materials scientists. Positions requiring a general science background without a specific degree field can face more scrutiny during the application process.
How do I find science and research E-3 sponsorship jobs in Washington?
Migrate Mate is built specifically for this search. You can filter by visa type (E-3), industry (science and research), and state (Washington) to see current openings from employers who have sponsored international candidates before. This saves significant time compared to manually reviewing job postings for sponsorship signals. Migrate Mate's dataset focuses on verifiable sponsorship history, which is particularly useful in research fields where sponsorship policies vary widely between institutions and private employers.
Are there any Washington-specific considerations for science and research E-3 sponsorship?
Washington has no state income tax, which affects overall compensation comparisons but does not change E-3 eligibility requirements. One practical consideration is that many Washington research positions, particularly at public institutions like the University of Washington, operate under federal grant funding, which can affect hiring timelines and the speed at which an employer initiates sponsorship. Research roles tied to federal contracts may also involve additional background checks that extend the overall onboarding period.
What is the prevailing wage for E-3 science & research 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.