Cybersecurity Jobs at Anthropic with Visa Sponsorship
Cybersecurity jobs at Anthropic involve protecting AI research infrastructure, internal systems, and sensitive model development pipelines. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through the H-1B visa, H-1B1 visa, and E-3 visa processes.
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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 Horizons
The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models.
About The Role
We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows.
You May Be a Good Fit If You
- Have experience in cybersecurity research.
- Have experience with machine learning.
- Have strong software engineering skills.
- Can 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
- Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
- Experience participating in or building CTF competitions and cyber ranges.
- Academic research experience in cybersecurity.
- Familiarity with RL techniques and environments.
- Familiarity with LLM training methodologies.
Annual Salary
$300,000—$405,000 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 Horizons
The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models.
About The Role
We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows.
You May Be a Good Fit If You
- Have experience in cybersecurity research.
- Have experience with machine learning.
- Have strong software engineering skills.
- Can 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
- Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
- Experience participating in or building CTF competitions and cyber ranges.
- Academic research experience in cybersecurity.
- Familiarity with RL techniques and environments.
- Familiarity with LLM training methodologies.
Annual Salary
$300,000—$405,000 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 Cybersecurity Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cybersecurity Jobs at Anthropic.
Get Access To All JobsTips for Finding Cybersecurity Jobs at Anthropic
Align your credentials to AI security frameworks
Anthropic's cybersecurity roles often require experience securing large-scale ML infrastructure, not just traditional enterprise environments. Certifications like CISSP or cloud security credentials paired with hands-on AI or research system exposure will strengthen your application materially.
Target roles that map to specialty occupation criteria
USCIS requires cybersecurity positions to qualify as specialty occupations for H-1B sponsorship. Roles focused on threat modeling, red teaming, or security architecture at Anthropic typically meet this bar more cleanly than generalist IT support positions.
Use Migrate Mate to filter Anthropic's open cybersecurity listings
Anthropic posts cybersecurity roles across multiple job categories. Migrate Mate lets you filter specifically by employer and visa type so you can identify which active listings fall under sponsored positions before you invest time applying.
Prepare for a multi-stage technical interview process
Anthropic's security hiring typically involves system design, threat modeling exercises, and hands-on technical assessments. Have documented examples ready that demonstrate how you've secured research environments or protected sensitive proprietary data at scale.
Understand E-3 and H-1B1 as faster paths if you qualify
If you're an Australian or Chilean or Singaporean national, Anthropic sponsors E-3 and H-1B1 visas, which bypass the H-1B lottery entirely. These categories have no annual cap exhaustion risk and allow consular processing with shorter timelines than standard H-1B change of status.
Time your offer acceptance around the H-1B filing window
USCIS accepts H-1B cap-subject petitions in April for an October 1 start date. If your offer comes after registration closes, negotiate a start date for the following fiscal year or explore cap-exempt options while you wait.
Frequently Asked Questions
Does Anthropic sponsor H-1B visas for Cybersecurity roles?
Yes, Anthropic sponsors H-1B visas for cybersecurity positions. The company has a consistent sponsorship track record across this function, covering both cap-subject petitions and transfers for candidates already holding H-1B status with another employer. Your role must qualify as a specialty occupation, which cybersecurity positions at Anthropic's level of technical specificity generally do.
How do I apply for Cybersecurity jobs at Anthropic?
Applications go through Anthropic's careers page, where cybersecurity roles are listed under security engineering or infrastructure. You can also browse and filter Anthropic's sponsored cybersecurity openings on Migrate Mate, which surfaces visa-sponsoring employers specifically. Expect a multi-stage process including a recruiter screen, technical assessments, and system design interviews before an offer is extended.
Which visa types does Anthropic commonly sponsor for Cybersecurity positions?
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for cybersecurity roles. H-1B applies to most nationalities and is subject to the annual lottery. H-1B1 is available to Chilean and Singaporean nationals, while E-3 is exclusively for Australian citizens. Both H-1B1 and E-3 bypass the lottery, making them faster options for eligible candidates.
What qualifications does Anthropic look for in Cybersecurity candidates?
Anthropic typically requires a bachelor's degree or higher in computer science, information security, or a closely related field. Beyond the degree, the company prioritizes hands-on experience securing cloud infrastructure, ML systems, or research environments. Practical skills in threat modeling, penetration testing, or security architecture carry significant weight, particularly when applied to high-sensitivity or novel AI development contexts.
How long does the visa sponsorship process take for a Cybersecurity role at Anthropic?
Timeline depends on which visa category applies. H-1B cap-subject petitions have a fixed April registration window with an October 1 start date, meaning the process can take six months or more from offer to authorization. E-3 and H-1B1 visa applications move faster through consular processing, often resolving within four to eight weeks. Premium processing through USCIS is available for certain petition types and can reduce adjudication time to 15 business days.