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 Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Team
As the Product Policy Manager for Product Risk, you will play a crucial role in setting and executing the Safeguards team’s approach to assessing product launches for safety risks and working with XFN stakeholders to drive appropriate safety mitigations. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including product, legal, public policy, and engineering teams to understand upcoming features, anticipate potential misuses or unintended consequences, and craft policies that balance innovation with responsibility. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as we continue to expand our product capabilities.
IMPORTANT CONTEXT ON THIS ROLE:
In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.
Responsibilities
- Develop and maintain risk assessment frameworks to identify and evaluate potential safety risks associated with new product features and functionality
- Conduct and drive comprehensive product safety reviews, covering technical and non-technical harms, to inform product launch and safety mitigation strategies
- Collaborate closely with a variety of stakeholders including product and engineering teams and the broader Safeguards team to leverage deep policy, enforcement, and engineering expertise
- Analyze the potential for misuse, unintended consequences, and harmful outputs of new model and product capabilities and translate this analysis into mitigations delivery
- Leverage SME risk assessments to inform overall product safety recommendations
- Design and run bespoke evaluations for products that require tailored assessment and contribute to our product safety evaluations strategy
- Craft policy recommendations that strike a balance between enabling innovation and ensuring responsible AI deployment
- Stay current on industry trends and emerging risks in AI development to proactively address potential issues
- Contribute to regular reports on product policy risks and mitigations for senior leadership
Minimum Requirements
- Have a strong technical background while also feeling equally comfortable explaining highly technical concepts to non-technical stakeholders
- Understand safety policies and safety considerations associated with a wide range of product surfaces
- Are adept at prioritizing where, and how, to focus resources for safety mitigations in a high volume launch process
- Have conducted risk evaluations of novel products in fast moving organizations
- Demonstrated expertise collaborating with product and engineering teams to integrate safety considerations into product development
- Have a thorough understanding of AI ethics, responsible AI principles, and current debates surrounding AI safety and governance
- Have the ability to think creatively about potential misuses of technology and develop innovative solutions to mitigate risks
- Have shown strong program management skills with the ability to drive policy development processes from ideation to implementation
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$245,000—$285,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Team
As the Product Policy Manager for Product Risk, you will play a crucial role in setting and executing the Safeguards team’s approach to assessing product launches for safety risks and working with XFN stakeholders to drive appropriate safety mitigations. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including product, legal, public policy, and engineering teams to understand upcoming features, anticipate potential misuses or unintended consequences, and craft policies that balance innovation with responsibility. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as we continue to expand our product capabilities.
IMPORTANT CONTEXT ON THIS ROLE:
In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.
Responsibilities
- Develop and maintain risk assessment frameworks to identify and evaluate potential safety risks associated with new product features and functionality
- Conduct and drive comprehensive product safety reviews, covering technical and non-technical harms, to inform product launch and safety mitigation strategies
- Collaborate closely with a variety of stakeholders including product and engineering teams and the broader Safeguards team to leverage deep policy, enforcement, and engineering expertise
- Analyze the potential for misuse, unintended consequences, and harmful outputs of new model and product capabilities and translate this analysis into mitigations delivery
- Leverage SME risk assessments to inform overall product safety recommendations
- Design and run bespoke evaluations for products that require tailored assessment and contribute to our product safety evaluations strategy
- Craft policy recommendations that strike a balance between enabling innovation and ensuring responsible AI deployment
- Stay current on industry trends and emerging risks in AI development to proactively address potential issues
- Contribute to regular reports on product policy risks and mitigations for senior leadership
Minimum Requirements
- Have a strong technical background while also feeling equally comfortable explaining highly technical concepts to non-technical stakeholders
- Understand safety policies and safety considerations associated with a wide range of product surfaces
- Are adept at prioritizing where, and how, to focus resources for safety mitigations in a high volume launch process
- Have conducted risk evaluations of novel products in fast moving organizations
- Demonstrated expertise collaborating with product and engineering teams to integrate safety considerations into product development
- Have a thorough understanding of AI ethics, responsible AI principles, and current debates surrounding AI safety and governance
- Have the ability to think creatively about potential misuses of technology and develop innovative solutions to mitigate risks
- Have shown strong program management skills with the ability to drive policy development processes from ideation to implementation
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$245,000—$285,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
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.