Research Jobs at Anthropic with Visa Sponsorship
Research jobs at Anthropic span AI safety, interpretability, and alignment, with the company maintaining a consistent track record of sponsoring work visas for this function. If you're an international researcher targeting a role here, visa sponsorship is a realistic part of the hiring conversation.
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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 RL Teams
Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5 and Opus 4.8. Our work spans several key areas:
- Developing systems that enable models to use computers effectively
- Advancing code generation through reinforcement learning
- Pioneering fundamental RL research for large language models
- Building scalable RL infrastructure and training methodologies
- Enhancing model reasoning capabilities
We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.
About The Role
We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from.
Specifically, you will:
- Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization
- Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards
- Conduct experiments and shape our roadmap
- Deliver your work into research and production training runs
- Collaborate with other researchers and engineers across and outside Anthropic
You May Be A Good Fit If You
- Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs
- Are fluent with industry EDA tools and processes
- Have taped out chips and have experience going from spec to silicon
- Know how to balance research exploration with engineering implementation
- Are passionate about AI's potential and committed to developing safe and beneficial systems
Strong Candidates May Also Have
- Experience with reinforcement learning, evaluations or environments
- Built tooling or automation around chip design flows
- Worked on ML accelerators or high-performance compute hardware
- Familiarity with high-level synthesis or architecture simulators
Annual Salary
$500,000—$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 RL Teams
Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5 and Opus 4.8. Our work spans several key areas:
- Developing systems that enable models to use computers effectively
- Advancing code generation through reinforcement learning
- Pioneering fundamental RL research for large language models
- Building scalable RL infrastructure and training methodologies
- Enhancing model reasoning capabilities
We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.
About The Role
We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from.
Specifically, you will:
- Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization
- Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards
- Conduct experiments and shape our roadmap
- Deliver your work into research and production training runs
- Collaborate with other researchers and engineers across and outside Anthropic
You May Be A Good Fit If You
- Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs
- Are fluent with industry EDA tools and processes
- Have taped out chips and have experience going from spec to silicon
- Know how to balance research exploration with engineering implementation
- Are passionate about AI's potential and committed to developing safe and beneficial systems
Strong Candidates May Also Have
- Experience with reinforcement learning, evaluations or environments
- Built tooling or automation around chip design flows
- Worked on ML accelerators or high-performance compute hardware
- Familiarity with high-level synthesis or architecture simulators
Annual Salary
$500,000—$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 73+ Research Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Jobs at Anthropic.
Get Access To All JobsTips for Finding Research Jobs at Anthropic
Frame your research output for AI safety
Anthropic's Research roles center on alignment, interpretability, and frontier model evaluation. Before applying, audit your publications and projects to surface work that connects to these areas, even if your background is in adjacent fields like neuroscience or formal verification.
Target roles that match your visa category
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for Research positions. Australians should confirm a role qualifies as a specialty occupation before interviewing, since an LCA must be filed before you can apply at a U.S. consulate.
Time your application around the H-1B cap
If you need a cap-subject H-1B, USCIS registration opens each March and employment can only start October 1. Build your job search timeline backward from that date so an offer and registration can align.
Document your research credentials for specialty occupation review
USCIS scrutinizes whether a Research role genuinely requires a specific advanced degree. Compile peer-reviewed publications, conference presentations, and any doctorate or master's degree transcripts before your employer's immigration counsel begins preparing the I-129 petition.
Search for open Research roles using Migrate Mate
Anthropic's Research openings with active visa sponsorship can shift quickly. Use Migrate Mate to filter for current Research roles at Anthropic filtered by the visa type you need, so you're applying to positions where sponsorship is already confirmed.
Raise visa timing early in the offer stage
Once Anthropic extends an offer, ask their recruiting team which immigration counsel they use and what the expected LCA-to-petition timeline looks like. Knowing this upfront prevents gaps if you're transitioning from OPT or a grace period.
Frequently Asked Questions
Does Anthropic sponsor H-1B visas for Research roles?
Yes, Anthropic sponsors H-1B visas for Research positions. The company also sponsors H-1B1 visas for Chilean and Singaporean nationals and E-3 visas for Australian citizens. Research roles at Anthropic typically qualify as specialty occupations given the advanced degree requirements, which is a prerequisite for all three of these visa categories.
How do I apply for Research jobs at Anthropic?
Applications go through Anthropic's careers page, where Research openings are listed by team, such as alignment science, interpretability, and policy research. You can also browse Research roles at Anthropic that include visa sponsorship directly on Migrate Mate, which filters positions by sponsorship status so you can confirm eligibility before applying.
Which visa types are commonly used for Research roles at Anthropic?
H-1B is the most common path for Research professionals at Anthropic who are subject to the annual cap. Australians can pursue the E-3, which has no lottery and allows applications directly at a U.S. consulate with a job offer and certified Labor Condition Application. Chilean and Singaporean nationals may qualify for the H-1B1 visa, which also bypasses the H-1B lottery.
What qualifications does Anthropic expect for Research roles?
Most Research positions at Anthropic require a graduate degree in machine learning, computer science, statistics, or a closely related technical field. Publications in peer-reviewed venues or documented contributions to open research are common expectations. Some roles, particularly in alignment and interpretability, also weigh demonstrated experience with large language models or formal methods in addition to academic credentials.
How do I think about timing when targeting a Research role at Anthropic on a visa?
If you need a cap-subject H-1B, USCIS registration runs in March and the earliest start date is October 1, so you'll want an offer secured before the registration window opens. E-3 and H-1B1 visa applicants have more flexibility since those visas aren't lottery-dependent and can be processed at a U.S. consulate on a rolling basis once you have a certified LCA from DOL.