Airbnb Visa Sponsorship Jobs USA
Airbnb is one of the more established visa sponsors in the hospitality and technology space, with a track record spanning multiple visa categories. For international job seekers targeting a company that bridges tech, design, and travel, Airbnb represents a meaningful sponsorship opportunity worth pursuing.
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Get Access To All JobsINTRODUCTION
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
ABOUT THE ROLE
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.
THE DIFFERENCE YOU WILL MAKE
We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.
A TYPICAL DAY
- Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
- Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
- Learn and share the latest AI/ML technologies with the team.
YOUR EXPERTISE
- PhD/Master’s degree, preferably in CS, or equivalent experience
- 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems
- Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
- Experience with LLM driven chatbot and Agentic AI products would be a big plus
- Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
YOUR LOCATION:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
OUR COMMITMENT TO INCLUSION & BELONGING
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
HOW WE'LL TAKE CARE OF YOU
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range $212,000—$260,000 USD
INTRODUCTION
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
ABOUT THE ROLE
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.
THE DIFFERENCE YOU WILL MAKE
We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.
A TYPICAL DAY
- Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
- Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
- Learn and share the latest AI/ML technologies with the team.
YOUR EXPERTISE
- PhD/Master’s degree, preferably in CS, or equivalent experience
- 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems
- Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
- Experience with LLM driven chatbot and Agentic AI products would be a big plus
- Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
YOUR LOCATION:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
OUR COMMITMENT TO INCLUSION & BELONGING
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
HOW WE'LL TAKE CARE OF YOU
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range $212,000—$260,000 USD
Job Roles at Airbnb
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Get Access To All JobsTips for Finding Airbnb Visa Sponsorship Jobs USA
Target roles at the intersection of tech and hospitality
Airbnb's sponsorship activity is concentrated in roles that blend technical expertise with its platform-driven business, think product, engineering, data, and design. Positioning yourself at that intersection improves your chances of landing a sponsored role.
Understand which visa types Airbnb actively files
Airbnb sponsors H-1B, E-3, TN, and Green Card pathways, as well as F-1 OPT. Knowing which category fits your background before applying helps you frame your eligibility clearly in outreach and during recruiter screens.
Apply during Airbnb's main hiring cycles
Like most technology-adjacent hospitality companies, Airbnb tends to ramp hiring in Q1 and Q3. Timing your application to align with these windows gives you the best shot at roles where sponsorship budgets are actively allocated.
Highlight cross-functional impact in your application materials
Airbnb values candidates who can operate across product, community, and operations. Demonstrating measurable impact across functions, not just within a single team, signals the kind of versatility that justifies sponsorship investment for competitive roles.
Use Migrate Mate to verify Airbnb's open sponsored roles
Sponsorship policies change, and not every open role is eligible. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and focus only on Airbnb positions where international applicants have a genuine path forward.
Leverage Airbnb's global culture as a conversation asset
Airbnb's business is inherently international, hosts, guests, and teams span the globe. In interviews, connecting your international background to their core mission of belonging is a natural, credible way to reinforce why sponsorship makes strategic sense.
Frequently Asked Questions
Does Airbnb sponsor H-1B visas?
Yes, Airbnb sponsors H-1B visas and has done so consistently across multiple hiring cycles. Sponsorship is most common in technical and product roles, though it extends to other specialized functions. Airbnb is considered an active H-1B sponsor relative to others in the hospitality and technology sector, making it a worthwhile target for international candidates in qualifying specialty occupations.
Which visa types does Airbnb sponsor?
Airbnb sponsors a range of visa categories including H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT, and employment-based Green Cards at the EB-2 and EB-3 levels. The mix of visa types reflects a hiring strategy that accommodates international talent across multiple nationalities and career stages, from recent graduates to senior specialists.
Which departments or roles at Airbnb are most likely to offer visa sponsorship?
Sponsorship at Airbnb is most concentrated in engineering, product management, data science, and design, roles that require specialized degree-level qualifications and are harder to fill domestically. Operations, finance, and policy roles have also seen sponsorship activity. Roles framed around Airbnb's platform infrastructure or global expansion tend to have the strongest case for sponsorship internally.
How do I find Airbnb jobs that offer visa sponsorship?
The most reliable approach is to filter specifically for verified sponsors rather than assuming all open roles qualify. Migrate Mate lets you browse Airbnb's current openings with sponsorship history already verified, so you're not spending time on applications where international candidates won't be considered. Applying through a targeted, sponsorship-confirmed list significantly improves your odds.
How do I approach Airbnb's hiring process as an international applicant?
Raise your visa status early, ideally in the initial recruiter screen, so there are no surprises later. Airbnb's recruiters are experienced with international hiring, particularly for H-1B and OPT candidates. Come prepared to articulate your authorization timeline clearly, especially if you're on OPT with a cap-gap or approaching an H-1B lottery window, since timing affects the hiring decision.