Anthropic H-1B Visa Sponsorship Jobs USA
Anthropic sponsors H-1B visas for roles across AI safety research, machine learning engineering, and policy. Known for rigorous technical hiring, it's a legitimate H-1B visa sponsor with a consistent track record in the science and research space, making it a realistic target for international candidates in AI-focused 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
Anthropic's Safeguards team is responsible for the systems that allow us to deploy powerful AI models responsibly — and the data infrastructure underneath those systems is foundational to getting that right. The Safeguards Data Infrastructure team owns the offline data stack that underpins our safeguards work: the storage layer for sensitive user data, the tooling built on top of it, and the interfaces that let the rest of the Safeguards organization access that data safely and ergonomically.
As Engineering Manager of this team, you'll be responsible for ensuring full portability of our safeguards data stack across an expanding set of deployment environments, building privacy-preserving data interfaces that enable ML and training workflows, and driving compliance with data regulations including HIPAA. This is a role at the intersection of infrastructure engineering, data privacy, and enterprise product requirements — and it sits at a critical juncture as Anthropic scales into new cloud environments and geographies.
Key responsibilities:
- Lead and grow a team of engineers delivering the data infrastructure and tooling that powers Anthropic's safeguards capabilities
- Own the strategy and execution for porting the safeguards offline data stack — including PII storage and tooling — across new cloud and deployment environments as Anthropic expands
- Build and maintain privacy-safe data APIs and interfaces that enable ML and training workflows while respecting data retention and access constraints
- Drive tooling and architecture decisions that maximize data retention within the bounds of our privacy and compliance requirements
- Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g. HIPAA, EU privacy regulations)
- Collaborate closely with enterprise customers and product teams on zero data retention offerings, working balancing safety needs with robust enterprise data contracts
- Independently own and drive multiple workstreams, including planning, execution, and cross-team coordination
- Coach, mentor, and support the career development of your direct reports, helping them set and achieve their professional goals
- Partner with recruiting to attract, hire, and retain strong engineering talent
Minimum qualifications:
- Have 3+ years of front-line engineering management experience
- Have hands-on software engineering experience as an individual contributor prior to moving into management
- Are comfortable driving technical decisions in an ambiguous, fast-moving environment with competing priorities
- Have experience working cross-functionally across infrastructure, product, and compliance or security teams
- Are clear and persuasive communicators, both in writing and in person
Preferred qualifications:
- Have a track record of leading teams that build and operate data infrastructure at scale
- Have experience with multi-cloud or multi-region data portability, particularly in regulated environments
- Have built privacy-preserving data pipelines or interfaces for ML workloads
- Have experience with enterprise data contracts or zero data retention architectures
- Have explored novel approaches to data processing under strict access constraints, such as in-memory storage and compute for sensitive data
- Have a strong understanding of data privacy principles, PII handling, and compliance frameworks
- Have a passion for building diverse and inclusive teams
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:
$405,000 - $485,000 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
Anthropic's Safeguards team is responsible for the systems that allow us to deploy powerful AI models responsibly — and the data infrastructure underneath those systems is foundational to getting that right. The Safeguards Data Infrastructure team owns the offline data stack that underpins our safeguards work: the storage layer for sensitive user data, the tooling built on top of it, and the interfaces that let the rest of the Safeguards organization access that data safely and ergonomically.
As Engineering Manager of this team, you'll be responsible for ensuring full portability of our safeguards data stack across an expanding set of deployment environments, building privacy-preserving data interfaces that enable ML and training workflows, and driving compliance with data regulations including HIPAA. This is a role at the intersection of infrastructure engineering, data privacy, and enterprise product requirements — and it sits at a critical juncture as Anthropic scales into new cloud environments and geographies.
Key responsibilities:
- Lead and grow a team of engineers delivering the data infrastructure and tooling that powers Anthropic's safeguards capabilities
- Own the strategy and execution for porting the safeguards offline data stack — including PII storage and tooling — across new cloud and deployment environments as Anthropic expands
- Build and maintain privacy-safe data APIs and interfaces that enable ML and training workflows while respecting data retention and access constraints
- Drive tooling and architecture decisions that maximize data retention within the bounds of our privacy and compliance requirements
- Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g. HIPAA, EU privacy regulations)
- Collaborate closely with enterprise customers and product teams on zero data retention offerings, working balancing safety needs with robust enterprise data contracts
- Independently own and drive multiple workstreams, including planning, execution, and cross-team coordination
- Coach, mentor, and support the career development of your direct reports, helping them set and achieve their professional goals
- Partner with recruiting to attract, hire, and retain strong engineering talent
Minimum qualifications:
- Have 3+ years of front-line engineering management experience
- Have hands-on software engineering experience as an individual contributor prior to moving into management
- Are comfortable driving technical decisions in an ambiguous, fast-moving environment with competing priorities
- Have experience working cross-functionally across infrastructure, product, and compliance or security teams
- Are clear and persuasive communicators, both in writing and in person
Preferred qualifications:
- Have a track record of leading teams that build and operate data infrastructure at scale
- Have experience with multi-cloud or multi-region data portability, particularly in regulated environments
- Have built privacy-preserving data pipelines or interfaces for ML workloads
- Have experience with enterprise data contracts or zero data retention architectures
- Have explored novel approaches to data processing under strict access constraints, such as in-memory storage and compute for sensitive data
- Have a strong understanding of data privacy principles, PII handling, and compliance frameworks
- Have a passion for building diverse and inclusive teams
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:
$405,000 - $485,000 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.
Job Roles at Anthropic
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Get Access To All JobsTips for Finding Anthropic H-1B Jobs
Target roles aligned with Anthropic's core research mission
Anthropic's H-1B sponsorships concentrate in AI safety, machine learning, and research engineering. Applying to roles directly tied to model development or interpretability research gives you the strongest case for sponsorship consideration.
Understand how Anthropic initiates H-1B filings
Anthropic handles H-1B sponsorship through its internal immigration process, typically engaging outside counsel once an offer is extended. Confirming sponsorship willingness early in the interview process avoids late-stage surprises.
Align your background with specialty occupation standards
H-1B approval requires demonstrating a specialty occupation. At Anthropic, that means showing your degree directly maps to the technical or research role, whether in computer science, statistics, cognitive science, or a related field.
Use Migrate Mate to verify Anthropic's sponsorship history
Migrate Mate surfaces verified H-1B sponsors so you can confirm Anthropic's real sponsorship track record before applying, saving time you'd otherwise spend chasing unconfirmed leads across general job boards.
Apply ahead of the H-1B cap season if you're not already in status
If you need a new H-1B cap-subject petition, timing your Anthropic application to allow for an April filing window is critical. Starting conversations with recruiters in late fall gives the process room to move.
Highlight research output, not just employment history
Anthropic evaluates candidates in a science and research context. Published papers, open-source contributions, or demonstrable work in AI safety signal the kind of specialized expertise that strengthens both the hire and the H-1B petition.
Anthropic H-1B Visa Sponsorship: Frequently Asked Questions
Does Anthropic sponsor H-1B visas?
Yes, Anthropic sponsors H-1B visas. The company actively hires international talent and supports H-1B petitions for qualifying full-time roles, particularly in research and engineering. Sponsorship is typically confirmed after an offer is extended, so it's worth raising the topic directly with the recruiter once you reach the offer stage.
Which roles at Anthropic are most likely to receive H-1B sponsorship?
H-1B sponsorship at Anthropic is most common in technical and research-oriented positions, including AI safety research, machine learning engineering, software engineering, and policy research. These roles typically satisfy the specialty occupation requirement that underpins every H-1B petition. Roles in operations or general administration are less commonly sponsored.
How do I navigate the H-1B application process at Anthropic?
Once Anthropic extends an offer and confirms sponsorship, the company's immigration team or outside counsel prepares the H-1B petition on your behalf. You'll provide employment documents, degree credentials, and personal information. The employer handles filing with USCIS. Your role is to respond promptly to document requests and stay in close contact with the designated immigration contact.
How do I find H-1B jobs at Anthropic?
Anthropic lists open roles on its careers page. Migrate Mate also tracks Anthropic as a verified H-1B sponsor, so you can find and filter Anthropic-sponsored roles alongside other confirmed sponsors in one place. Focusing your search on research and engineering job families will surface the positions most likely to come with sponsorship.
How long does the H-1B sponsorship process take at Anthropic?
Timeline depends on when you need status and whether premium processing is used. Standard USCIS processing for a cap-subject H-1B petition can take several months after the April filing window, with employment starting October 1 at the earliest. Premium processing reduces USCIS adjudication to a matter of weeks. Cap-exempt scenarios, such as transfers from another H-1B employer, move faster and are not tied to the annual lottery.
What is the prevailing wage for H-1B jobs at Anthropic?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.