E-3 Visa Research Scientist Jobs
Research Scientist roles qualify for E-3 visa sponsorship when tied to a specific scientific discipline requiring at least a bachelor's degree. Australian nationals can secure two-year renewable E-3 status without entering a lottery, making U.S. research positions at universities, biotech firms, and federal contractors genuinely accessible.
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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 934+ E-3 Visa Research Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Research Scientist Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Research Scientist
Align your credentials to specialty occupation standards
Your degree field must directly correspond to the research role, not just science broadly. A biochemistry researcher with a physics degree may face scrutiny, so document any supplementary coursework or publications that bridge the gap before applying.
Target employers with existing DOL LCA filings
Search the DOL's Foreign Labor Certification disclosure data to identify research institutions and biotech companies that have filed LCAs for scientist roles. Prior filings signal an established sponsorship process, which shortens your negotiation on employer willingness.
Negotiate the LCA filing into your offer letter
Many research employers assume you'll self-fund visa costs. Request that the employer covers LCA and I-129 filing fees as part of the offer, since the E-3 visa requires employer-initiated DOL certification before you can apply at the consulate.
Use Migrate Mate's E-3 filing service for the full process
Once you have an offer, Migrate Mate's E-3 filing service handles LCA preparation, visa paperwork, and consulate appointment prep end-to-end, reducing back-and-forth between you and an employer unfamiliar with the E-3 process.
Prepare a specialty occupation letter for your role
Research Scientist positions at smaller biotech firms or startups sometimes lack formal HR visa experience. Draft a specialty occupation support letter with your employer explaining why the role requires your specific scientific discipline, which strengthens the LCA and DS-160 package.
Carry certified LCA documentation when entering the U.S.
CBP officers can request your LCA at the port of entry. Keep a certified copy of the DOL-approved LCA alongside your DS-2019 or offer letter so you can demonstrate the role's prevailing wage compliance if questioned during admission.
E-3 Visa Research Scientist: Frequently Asked Questions
How do I find Research Scientist jobs that offer E-3 visa sponsorship?
Use Migrate Mate to search Research Scientist roles filtered by E-3 sponsorship. Most job boards don't distinguish between visa types, so you'd otherwise spend hours filtering out positions limited to U.S. citizens or H-1B visa holders. Migrate Mate surfaces employers who have actively sponsored E-3 or similar specialty occupation visas, so your search starts with realistic targets.
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 Scientist role qualify as a specialty occupation for E-3 purposes?
Yes, provided the position requires at least a bachelor's degree in a specific scientific discipline, such as biology, chemistry, or materials science. Roles with generic requirements like 'any science degree' can create problems at the consulate. Your offer letter and LCA should specify the degree field required, not just the job title, to satisfy USCIS specialty occupation standards.
How does the E-3 compare to H-1B for Research Scientist roles in the U.S.?
The E-3 is substantially more practical for Australian research scientists. There's no annual lottery, no cap anxiety, and no registration window to miss. H-1B selection is random and capped at 85,000 per fiscal year, meaning qualified candidates are rejected for statistical reasons, not merit. E-3 applications are filed directly at the consulate after DOL LCA certification, with no USCIS petition required in the consular processing route.
Can I switch research employers after arriving on an E-3?
Yes, but you need a new LCA certified by DOL and a new E-3 visa stamp from a U.S. consulate or, in some cases, a change of status filed with USCIS. You can start working for the new employer immediately if you're porting on a timely-filed USCIS application, but you can't simply transfer an existing E-3 the way a green card holder changes jobs. Plan for a four-to-eight week transition timeline minimum.