E-3 Visa Research Jobs
Research roles in the U.S. qualify for E-3 visa sponsorship when the position requires a bachelor's degree or higher in a relevant field, think applied sciences, social research, data analysis, or laboratory science. The E-3 has no lottery and renews in two-year increments, making it a stable option for long-term research careers.
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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 Role
We're looking for a Research Scientist who has done hands-on research on large models (pretraining, fine-tuning, RL, evals, or agents scaffolds) and wants to focus on measuring and understanding recursive-self-improvement. You know what the model-development loop looks like from the inside: which signals matter and where the real bottlenecks are. On this team you'll use that judgment to decide what's worth measuring, design the evaluations and models that measure it, and interpret what the results mean for how fast this is moving. We're hiring at both junior and senior levels. Senior researchers should be comfortable doing hands-on technical work alongside setting research direction.
Responsibilities
- Identify the signals that track AI R&D acceleration and design the evaluations that measure them
- Build quantitative models of capability growth and self-improvement dynamics, grounded in evaluation and telemetry data
- Run experiments and evals to test hypotheses about automation and capability
- Make opinionated research bets and own the outcome
- Write graded assessments of what our measurements show, for internal decision-makers and public reporting
- Collaborate with pretraining, RL, economic research, and policy teams
You may be a good fit if you
- Have done hands-on research on large language models: pretraining, fine-tuning, RL, evals, or agent systems
- Have strong quantitative instincts, are comfortable with quantitative modeling and reasoning
- Have experience in forecasting, may have published AI forecasting scenarios
- Can design an evaluation from a vague question and defend the methodology
- Write clearly and calibrate: state confidence, name what would change your conclusion
- Are motivated by impact: comfortable with work whose output is graded assessments and system-card sections more often than papers
- Care about AI safety and think carefully about where rapid capability growth leads
Strong candidates may also have
- Trained or RL'd frontier models hands-on
- Experience with scaling laws, capability forecasting, or emergent-capability studies
- A physics, applied-math, or similarly quantitative background that moved into ML
- Written a system card section, capability report, or methodology document that others cite
- Experience supervising and correcting AI-written code
Some examples of our work
- Anthropic ECI: our adaptation of Epoch Capabilities Index published in all recent system cards to measure capability acceleration
- AI R&D capability assessments in the Claude system cards
- When AI Builds Itself: all data in the article comes from our team
Compensation
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: $350,000—$850,000 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 Role
We're looking for a Research Scientist who has done hands-on research on large models (pretraining, fine-tuning, RL, evals, or agents scaffolds) and wants to focus on measuring and understanding recursive-self-improvement. You know what the model-development loop looks like from the inside: which signals matter and where the real bottlenecks are. On this team you'll use that judgment to decide what's worth measuring, design the evaluations and models that measure it, and interpret what the results mean for how fast this is moving. We're hiring at both junior and senior levels. Senior researchers should be comfortable doing hands-on technical work alongside setting research direction.
Responsibilities
- Identify the signals that track AI R&D acceleration and design the evaluations that measure them
- Build quantitative models of capability growth and self-improvement dynamics, grounded in evaluation and telemetry data
- Run experiments and evals to test hypotheses about automation and capability
- Make opinionated research bets and own the outcome
- Write graded assessments of what our measurements show, for internal decision-makers and public reporting
- Collaborate with pretraining, RL, economic research, and policy teams
You may be a good fit if you
- Have done hands-on research on large language models: pretraining, fine-tuning, RL, evals, or agent systems
- Have strong quantitative instincts, are comfortable with quantitative modeling and reasoning
- Have experience in forecasting, may have published AI forecasting scenarios
- Can design an evaluation from a vague question and defend the methodology
- Write clearly and calibrate: state confidence, name what would change your conclusion
- Are motivated by impact: comfortable with work whose output is graded assessments and system-card sections more often than papers
- Care about AI safety and think carefully about where rapid capability growth leads
Strong candidates may also have
- Trained or RL'd frontier models hands-on
- Experience with scaling laws, capability forecasting, or emergent-capability studies
- A physics, applied-math, or similarly quantitative background that moved into ML
- Written a system card section, capability report, or methodology document that others cite
- Experience supervising and correcting AI-written code
Some examples of our work
- Anthropic ECI: our adaptation of Epoch Capabilities Index published in all recent system cards to measure capability acceleration
- AI R&D capability assessments in the Claude system cards
- When AI Builds Itself: all data in the article comes from our team
Compensation
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: $350,000—$850,000 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.
See all 6,914+ E-3 Visa Research Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Research Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Research
Translate your Australian credentials for U.S. employers
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 visa purposes, but your transcripts and degree certificates should explicitly list coursework. USCIS may request a credential evaluation if your degree field doesn't directly match the research role title.
Target institutions with established visa infrastructure
Universities, government-funded research labs, think tanks, and large pharmaceutical or biotech firms file LCAs regularly and have in-house HR processes for sponsoring international staff. Smaller private research consultancies may be willing but unfamiliar with E-3 mechanics, so ask whether they've sponsored before.
Confirm the role meets specialty occupation standards
A research position qualifies as a specialty occupation when a specific degree field is genuinely required, not just preferred. If the job posting says 'bachelor's degree in any field,' that language can disqualify the role for E-3 purposes, so request that the offer letter specifies the required discipline.
Get your LCA filed before scheduling your consulate appointment
The DOL must certify your Labor Condition Application before you can submit your DS-160 or schedule a consulate interview. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so you don't create delays by booking an appointment before certification is in hand.
Understand how fixed-term research contracts affect renewals
E-3 renewals require continued employer sponsorship, so grant-funded or project-based positions can create gaps when funding cycles end. Negotiate employment letters that reflect your ongoing role rather than a single grant period, and align your E-3 validity dates with your contract end dates to avoid status gaps.
Use prior publications and grants to demonstrate specialty occupation
If a consular officer questions whether your research role genuinely requires your specific degree, peer-reviewed publications, conference presentations, or competitive grant awards in your field serve as concrete evidence that the work is academically and professionally specialized, not general.
E-3 Visa Research: Frequently Asked Questions
How do I find Research jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. Rather than filtering through general job boards where sponsorship willingness is unclear, Migrate Mate surfaces research positions at employers with active E-3 and LCA filing history, so you're applying where sponsorship is already established practice.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a research role qualify as a specialty occupation for the E-3?
Yes, provided the position genuinely requires a bachelor's degree or higher in a specific academic discipline. Roles in applied sciences, data research, social science, laboratory work, or policy analysis typically qualify. The key is that the degree requirement must be real and field-specific, not a general preference for any bachelor's degree. Your offer letter should reflect that specificity.
How does the E-3 compare to the H-1B for research professionals?
The E-3 is available only to Australian citizens and has no lottery, meaning you can start the process as soon as you have a job offer. The H-1B visa requires entering an annual lottery with roughly a one-in-four selection rate and a cap of 85,000 slots per year. For Australians in research roles, the E-3 is a far more reliable and faster path to U.S. employment.
Can I switch research employers while on an E-3?
Yes, but you need a new LCA certified by the DOL and updated visa documentation before you start with the new employer. Unlike the H-1B, there's no portability rule that lets you begin work on receipt of a new petition. If you're already in the U.S., you can change employers but you must complete the LCA and filing process first, which typically takes a few weeks.