Science & Research E-3 Sponsorship Jobs in New York
Science and research E-3 visa sponsorship jobs in New York are concentrated at major academic medical centers like Memorial Sloan Kettering, Rockefeller University, and Mount Sinai, as well as biotech and pharmaceutical firms across Manhattan and Long Island. New York's density of research institutions makes it one of the strongest states for Australian scientists and researchers seeking E-3 sponsorship.
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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.
E-3 Science & Research Job Roles in New York
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Search Science & Research Jobs in New YorkScience & Research E-3 Sponsorship Jobs in New York: Frequently Asked Questions
Which science and research companies sponsor E-3 visas in New York?
New York's largest E-3 visa science and research sponsors include academic medical centers such as Memorial Sloan Kettering Cancer Center, Weill Cornell Medicine, and NYU Langone Health, along with pharmaceutical and biotech firms operating in the New York metro area. Research-intensive universities including Columbia, Rockefeller, and Cold Spring Harbor Laboratory on Long Island also have established sponsorship histories for specialty occupation roles.
Which cities in New York have the most science and research E-3 sponsorship jobs?
New York City, particularly Manhattan's Upper East Side medical corridor and Midtown, accounts for the majority of science and research E-3 opportunities in the state. Long Island is a secondary hub, home to Cold Spring Harbor Laboratory and several biotech campuses. Albany and Buffalo also have research activity tied to state university systems, though volume is significantly lower than the New York City metro area.
What types of science and research roles typically qualify for E-3 sponsorship?
Roles that consistently qualify include research scientists, postdoctoral fellows, computational biologists, clinical research associates, biostatisticians, and laboratory scientists in fields like oncology, genomics, and pharmacology. The E-3 requires the position to be a specialty occupation, meaning a bachelor's degree or higher in a directly related scientific discipline must be a genuine requirement for the role, not just a preference.
How do I find science & research E-3 sponsorship jobs in New York?
Migrate Mate is built specifically for this search. You can filter by E-3 visa type, the science and research industry, and New York as the target state to see roles where employers have indicated sponsorship willingness. This saves significant time compared to manually screening general job postings. Migrate Mate also surfaces employer sponsorship history, which is particularly useful when targeting New York's competitive research institution market.
Are there any New York-specific considerations for science and research E-3 sponsorship?
New York research institutions frequently hire on academic calendars, so postdoctoral and research scientist openings often cluster around spring and fall recruitment cycles. Many roles at public research institutions like SUNY or CUNY involve additional administrative steps tied to state employment processes. For clinical research roles, New York's Department of Health licensing requirements may apply independently of your E-3 status and should be confirmed with your prospective employer before accepting an offer.
What is the prevailing wage for E-3 science & research jobs in New York?
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.