Careers at Airbnb

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. The Community You Will Join: The Quality Engineering team helps Airbnb build high-quality software efficiently. We enable Airbnb engineers to build highly testable systems by building and using tools leveraging AI. We own and continuously improve product test cases, automation coverage, test automation tools, environments, frameworks. We navigate Airbnb’s massive codebase, identifying weak spots, and help design and implement testable, fault-tolerant systems. The Difference You Will Make: Help Airbnb leverage AI to redefine and accelerate Quality Engineering As a Software Engineer, you will help us meet this challenge by building and maintaining automation coverage for features and releases. You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents A Typical Day: Build, maintain, and effectively utilize automated tests, collaborate closely with engineering teams to ensure robust test coverage for features and releases, and actively participate in the continuous improvement of testing processes Leverage AI and tooling to implement the test automation strategy, covering the entire testing pyramid (unit, service, integration, and end-to-end testing) to verify feature functionality for customer use cases Contribute to improving existing automation frameworks to support new functionalities and optimize quality and efficiency Collaborate with CI/CD team to integrate automated testing into CI/CD pipelines, ensuring thorough test coverage at every stage of development Demonstrate excellent troubleshooting abilities, isolate issues, and verify bug fixes. Debug issues found during testing and after release Be a player of our high-performance team to ensure code quality, commitment to craft and operational excellence Work closely with cross-functional teams, including product management, development, and other QE teams, in a fast-paced environment with short release cycles Your Expertise: 2+ years of industry experience in software engineering and testing Demonstrable knowledge in at least one language used for web development (e.g., TypeScript, JavaScript) and comfort working in a backend language (e.g., Java, Kotlin, Python, Go) Strong knowledge of test automation methodologies, tools, and frameworks Strong hands-on experience with web automation frameworks (e.g., Playwright, Cypress) Experience integrating automated tests into CI/CD pipelines (e.g., Buildkite, Spinnaker, Jenkins) and version control systems (Git) Familiarity with quality signals such as test coverage, flaky test rate, and suite execution time, and how they guide where to invest effort Excellent communication skills towards facilitating interactions with cross-functional teams Comfort working through ambiguous problems, and collaborating across teams to deliver Curiosity about applying AI/LLMs to testing and developer productivity Comfortable collaborating in English Bachelor’s degree in computer science/engineering or equivalent 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. Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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. The Community You Will Join: The Quality Engineering team helps Airbnb build high-quality software efficiently. We enable Airbnb engineers to build highly testable systems by building and using tools leveraging AI. We own and continuously improve product test cases, automation coverage, test automation tools, environments, frameworks. We navigate Airbnb's massive codebase identifying weak spots, and help design and implement testable fault-tolerant systems. The Difference You Will Make: Be a leader in Airbnb, leveraging AI to redefine and accelerate Quality Engineering. As a Senior Mobile Software Engineer, you will help us meet this challenge by building and evolving comprehensive automation coverage for features and releases across both native mobile stacks. You will work directly with the iOS and Android product engineering teams to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions. As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, Hosts, and support agents. A Typical Day: Leverage AI and tooling to lead the implementation of a test automation strategy, covering the entire testing pyramid (unit, service, integration, and end-to-end testing) to verify feature functionality for customer use cases on iOS and Android. Lead building, maintaining, and effective utilization of automated tests in Swift and Kotlin, collaborating closely with the mobile engineering teams to ensure robust test coverage for features and releases, and actively participating in the continuous improvement of testing processes. Contribute to improving existing automation frameworks to support new functionalities and optimize quality and efficiency across both native codebases. Collaborate with CI/CD team to integrate automated testing into CI/CD pipelines, ensuring thorough test coverage at every stage of development and reducing build and feedback latency for both platforms. Own the health and signal quality of the mobile automation suite, reducing flakiness, improving execution time and debuggability, and defining the metrics that show whether quality is improving. Demonstrate excellent troubleshooting abilities, isolate issues, and verify bug fixes. Debug issues found during testing and after release, including device and emulator specific failures. Be a player of our high-performance team to ensure code quality, commitment to craft and operational excellence Work closely with cross-functional teams, including product management, development, and other QE teams, in a fast-paced environment with short release cycles. Your Expertise: 5+ years of industry experience in software engineering and testing Strong hands-on experience in one native mobile stack (Kotlin/Android SDK or Swift/iOS SDK) and working knowledge of the other, with experience using modern build tools (Gradle, Xcode) Strong knowledge of test automation methodologies, tools, and frameworks Strong hands-on experience with mobile automation frameworks (e.g., Espresso, Compose Test, XCUITest) Experience integrating automated tests into CI/CD pipelines (e.g., Buildkite, Spinnaker, Jenkins, Fastlane) and version control systems (Git) Experience using quality signals such as coverage, flaky test rate, suite execution time, and escaped defects to prioritize work and demonstrate impact. Excellent communication skills towards facilitating interactions with cross-functional teams Expertise developing solutions to ambiguous problems, and integrations across multiple teams with significant impact Curiosity about applying AI/LLMs to testing and developer productivity. Comfortable collaborating in English. Bachelor's degree in computer science/engineering or equivalent 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. Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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. The Community You Will Join: The Quality Engineering team helps Airbnb build high-quality software efficiently. We enable Airbnb engineers to build highly testable systems by building and using tools leveraging AI. We own and continuously improve product test cases, automation coverage, test automation tools, environments, and frameworks. We navigate Airbnb’s massive codebase, identifying weak spots, and help design and implement testable, fault-tolerant systems. The Difference You Will Make: Be a leader in Airbnb leveraging AI to redefine and accelerate Quality Engineering. As a Senior Software Engineer - Fullstack, you will help us meet this challenge by building and evolving comprehensive automation coverage for features and releases. You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions. As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents. A Typical Day: Leverage AI and tooling to lead the implementation of a test automation strategy, covering the entire testing pyramid (unit, service, integration, and end-to-end testing) to verify feature functionality for customer use cases Lead building, maintaining, and effective utilization of automated tests, collaborating closely with engineering teams to ensure robust test coverage for features and releases, and actively participating in the continuous improvement of testing processes Contribute to improving existing automation frameworks to support new functionalities and optimize quality and efficiency Collaborate with CI/CD team to integrate automated testing into CI/CD pipelines, ensuring thorough test coverage at every stage of development Demonstrate excellent troubleshooting abilities, isolate issues, and verify bug fixes. Debug issues found during testing and after release Be a player of our high-performance team to ensure code quality, commitment to craft and operational excellence Work closely with cross-functional teams, including product management, development, and other QE teams, in a fast-paced environment with short release cycles Your Expertise: 5+ years of industry experience in software engineering and testing Demonstrable knowledge in at least one language used for web development (e.g., TypeScript, JavaScript) and comfort working in a backend language (e.g., Java, Kotlin, Python, Go) Strong knowledge of test automation methodologies, tools, and frameworks Strong hands-on experience with automation frameworks (e.g., Playwright, Cypress) Experience integrating automated tests into CI/CD pipelines (e.g., Buildkite, Spinnaker, Jenkins) and version control systems (Git) Experience using quality signals such as coverage, flaky test rate, suite execution time, and escaped defects to prioritize work and demonstrate impact Excellent communication skills towards facilitating interactions with cross-functional teams Expertise developing solutions to ambiguous problems, and integrations across multiple teams with significant impact Curiosity about applying AI/LLMs to testing and developer productivity Comfortable collaborating in English Bachelor’s degree in computer science/engineering or equivalent 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. Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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. The Community You Will Join: You will join the Guest and Host Data Science organization, which powers products and data-driven decisions over Airbnb’s marketplace of Guest and Hosts. You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build, launch and iterate on our product roadmap to drive growth and deeper sophistication through experimentation, modeling, foundational tools and insights. Our work is core to ensuring that Airbnb’s strategy roadmap stays highly relevant for our users while supporting the long-term health of our marketplace. We work directly with decision makers in engineering and product to develop data-driven frameworks, technical solutions, evaluate product changes and guide the company through rigorous measurement and modeling. The Difference You Will Make: Under this general application, you will be considered for applications over several tracks. Growth Product Data Science Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders Pricing Data Science Develop a pricing guidance system for hosts as well as experimental and observational methods to measure the impact of pricing feature launches. Collaborate with product and cross-functional teams to pioneer pricing strategies and translate advanced modeling into actionable recommendations Develop foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact Craft compelling data narratives to surface actionable insights, empower data-driven decision making and influence the future direction of Airbnb’s pricing ecosystem Marketplace Optimization and Ranking Develop models and analytic frameworks that improve listing ranking and recommendation. This includes incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions. Partner closely with Machine Learning Engineers and Product to launch high-impact search improvements. Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements. Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization. Your work will help enable the next generation of AI-powered search experiences at Airbnb Connect marketplace thinking, modeling, and experimentation across teams and set the technical direction for modeling and experimentation in search, ranking and personalization. The ideal candidate will be curious, optimistic, and relentless at leading innovation in using AI tools to scale experimentation and data-driven decisions, development of domain-relevant input metrics, and continuous understanding of tradeoffs and end-to-end guest product journeys. You will hold a high bar for customer experience and a strong desire to accurately understand user behavior and drive business growth over both Homes and non-Homes verticals. Your expertise: Causal inference expertise. Experience with machine learning techniques in a marketplace product setting 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field Strong coding skills in SQL and either Python or R. Comfort with building proof-of-concept prototypes. Passionate about AI and possessing a learner’s attitude. Proven ability to be driven and succeed in collaborative environments with cross-functional stakeholders and also in independent work settings. Ability to autonomously set a roadmap for business impact. Proven ability to communicate clearly and effectively to audiences of varying technical levels 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. Equal Employment Opportunity: Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic. 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 $200,000 — $242,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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. The Community You Will Join: Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for developing the technology that helps protect our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. You'll work side-by-side with talented product managers, data scientists, software engineers, fraud intelligence, and operations teams. Together, you'll design and build ML solutions that have direct, meaningful impact on user trust, business success, and the global Airbnb community. The Difference You Will Make: As a Senior Machine Learning Engineer on the Trust team, you will actively contribute code and ideas that shape the ML systems protecting millions of Airbnb users. You'll own and deliver ML projects end-to-end — from designing and training models to productionizing and operating them at scale, while collaborating closely with cross-functional partners. You'll tackle real-world challenges such as account takeover, fake accounts, payment fraud, and bot detection. Your work will help reduce risks posed by bad actors while ensuring the platform remains seamless and welcoming for everyone else. As you develop your skills, you'll see the tangible impact of your models, helping real users stay safe and confident as they travel, host, and connect on Airbnb. A Typical Day: Collaborate with product managers, data scientists, software engineers, and operations teams to identify opportunities, scope ML solutions, and refine requirements for new or improved Trust models. Design, build, and productionize end-to-end Machine Learning pipelines, including feature engineering, model training, evaluation, and deployment — for both batch and real-time use cases. Investigate emerging fraud patterns and threat signals with your teammates, and develop ML-based detections and tools that enable faster, more accurate responses. Write, review, and ship clean, testable code — whether training a new model, improving an existing pipeline, or optimizing a feature for scalability and reliability. Work with large-scale structured and unstructured data to continuously improve ML models for Airbnb product, business, and operational use cases. Participate in code reviews, design discussions, and cross-team collaborations to contribute to a high-quality ML engineering culture. Work closely with trust defense and platform teams to adapt models and systems to an evolving landscape of fraud attacks. Your Expertise: 5+ years of industry experience in applied Machine Learning, with a track record of building and productionizing models at scale. Strong programming skills in Python (required) and familiarity with Scala, Java, or equivalent. Solid understanding of Machine Learning best practices — e.g., training/serving skew minimization, A/B testing, feature engineering, model selection — and algorithms such as gradient boosted trees, neural networks, transformers, and deep learning. Experience with ML frameworks and tooling such as TensorFlow, PyTorch, or equivalent. Experience with data engineering and building end-to-end ML pipelines, including both batch and real-time systems. Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms). Experience with test-driven development, incremental delivery, and deployment practices. Exposure to the Trust and Risk domain (e.g., fraud detection, anomaly detection, identity, account integrity) is a plus. A Bachelor's, Master's, or PhD in CS/ML or a related field. 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. Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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. The Community You Will Join: You will join the Payments Data Science organization, which sits at the intersection of Trust and Payments and powers the systems that move money safely and efficiently across Airbnb's global marketplace. The team spans payment optimization for guests and hosts, fraud and risk mitigation, complex measurement, and regulatory compliance. We partner directly with Payments product and engineering leadership, Finance, and Trust to ensure every transaction is fast, safe, and compliant at global scale. Our work directly shapes decisions made by senior leaders, including Payments executive leadership, and requires a rigorous, evidence-based approach to every recommendation we make. Our Data Science team enables this mission by providing reliable measurement frameworks to deliver robust data insights, build and enable state-of-the-art data products/models, and provide actionable and reliable business guidance. The Difference You Will Make: We are looking for a passionate data scientist to lead quantitative measurement efforts and bring novel scientific approaches to drive decision making across our platform’s payment experience. This data scientist will perform careful hypothesis generation, causal inference framework development, and model development/evaluation to ideate and drive payment strategies on our platform. This role will have a particular focus on payments fraud mitigation and loss optimization, with the goal of making our platform safer for our community. Our Data Scientists have a deep understanding of causal framework development, statistical analysis, machine learning model development and evaluation strategies, and the complications of running experiment/quasi-experimental methods in a two-sided marketplace. They have keen business sense and are able to develop novel solutions to fraud and risk problems that don't have an established playbook and utilize their findings to communicate across a wide range of partners to drive our data & product roadmaps. They are not only the trusted data expert on their team, but also a storyteller. Examples of projects you may work on include, development of novel metrics and frameworks that can efficiently measure outcomes (often balancing competing tradeoffs), generating deep root cause investigations and long term impact measurements, and building/evaluating ML and agentic models to optimize guest, host, and business outcomes. A Typical Day: Inference: Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts. AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior. Support evaluation and optimization of agentic and LLM-based systems. Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies. Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact. Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights. Your Expertise: 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 3+ years of experience with a Phd degree. Strong knowledge of causal inference, experimentation, applied statistical modeling, and end-to-end ML development. Skilled in statistical programming (Python or R) and database usage (SQL) Demonstrated track record of owning a business or technical domain end-to-end at a prior company: setting your own roadmap, being the accountable expert others escalate to, and driving a problem to resolution. Proven ability to communicate clearly and effectively to audiences of varying technical levels Ability to work independently, set your own roadmap, and drive cross-functional alignment Payments Fraud/Risk Domain expertise is a strong plus. Familiarity with evaluating agentic or LLM-based systems (e.g., decision-quality measurement, human-in-the-loop calibration) is a plus. 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. Equal Employment Opportunity: Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic. 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 $179,000 — $210,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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. 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. The Community You Will Join: 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 CS AI product team is 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, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. What you will do: As a principal machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent, recommendation, travel planning, and many more products that make meaningful impacts in the world of travel. Your responsibilities: Work with large scale structured and unstructured data; explore, experiment, build and continuously improve foundation models for Airbnb product, business and operational use cases. Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits. Continuously evaluate recent and upcoming large foundational models, ensuring the selection and refinement of the highest quality models for enhanced performance and efficiency. Hands-on prototype, develop and productionize LLM models and pipelines at scale, including both batch and real-time use cases. Drive key AI architectural decisions for products, and contribute to Airbnb’s ML platform architecture and strategy. Minimum Qualifications : PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field. 10+ years of experience with developing machine learning models and products at scale from inception to business impact. Programming experience in Python and hands-on experience with frameworks such as PyTorch. Proven record of training, fine tuning, optimizing models and inference run-time Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling. Or specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development Preferred Qualifications: PhD in AI, machine learning, data science, or related technical fields. Publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). Customer Support Systems : Experience with AI technologies in customer support applications. Agile Practice for AI production : Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain. Infrastructure Acumen : Experience deploying and scaling business-critical AI services and driving architectural requirements on ML infrastructures 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. Equal Employment Opportunity: Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic. 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 $292,000 — $365,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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. The Community You Will Join: We are building tools and a global community to make it easier for people to host on Airbnb. Our team focuses on co-hosting and building intuitive, user-facing experiences that enable people to host together as a team, using machine learning where appropriate to address real user needs. The team works collaboratively with cross-functional partners in Design, Product Management, Business and other Engineering teams to quickly brainstorm, prototype, develop, and deliver high quality product experiences. The Difference You Will Make: As the Engineering Manager, within Guest & Host Services, you’ll lead a team of talented, diverse software developers to prototype, build and improve hosting services, balancing the shorter term business outcomes along with longer term technical stability, scalability and flexibility aligning with cross functional partners. A Typical Day: Explore, shape, and develop new product experiences alongside cross-functional partners (design and product); from ideation to implementation at scale Lead investments into new technical capabilities that push the envelope and unlock product innovation Collaborate with engineers to plan and sequence the delivery of new features and capabilities, making necessary trade-offs, while effectively communicating the delivery plans and celebrating successful launches Partner with peer engineering teams to integrate new features that impact different areas within the product Strengthen the team’s partnerships with key stakeholders in Engineering, Design, and Product to make ambitious product feature concepts a reality. Recruit and nurture exceptional engineering talent by investing meaningful one-on-one time to understand their motivations and team dynamics, while also creating a tailored career development plan. Foster an inclusive team culture and environment that encourages collaboration, technical excellence, and innovation via calculated risks and product mindset. Your Expertise: 5+ years of engineering management experience, with 9+ years of relevant software development industry experience in a fast paced tech environment Deep expertise with backend systems and complex data modeling in large-scale consumer applications Excellent communication and presentation skills tuned for both technical or non-technical audiences End-to-end, product-oriented mentality that transcends team boundaries and helps find globally optimal solutions Good judgment in making tradeoffs to balance short-term business needs with long-term technical quality Strong collaboration skills, able to work effectively and find common ground with a wide range of teams who may have conflicting goals and priorities 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 shown below is annualized, 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. United Kingdom Annual Pay Range £120,000 — £150,000 GBP Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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. Your Location: This position is CHINA BASED . The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: 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 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 across regions( China and the US). Your Expertise: PhD/Master’s degree, preferably in CS, or equivalent experience 4+ 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 Fluency in both English and Mandarin is essential. 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. Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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. The Community You Will Join The Quality Platform team is at the heart of Airbnb’s mission to deliver a seamless, high-quality experience for millions of hosts and guests. We don’t just find bugs — we build the systems that prevent them. Our team sits at the intersection of Quality Engineering, Infrastructure, and Applied AI. We are evolving how software quality is built by integrating LLMs, intelligent automation, and data-driven systems into the testing lifecycle. You will join a high-impact group of engineers focused on building AI-powered quality systems that scale across one of the world’s most complex codebases. The Difference You Will Make: As a Mobile Software Engineer, you will be a key contributor to the development of our Quality Platform across both native mobile stacks. You will help build the foundation for how quality is engineered across Airbnb's iOS and Android ecosystems, developing tools and frameworks that enable our mobile platform to scale while keeping developers productive and confident, regardless of which platform they build on. In this role, you will: Build AI-Driven Solutions: Contribute to AI-native agents that automate repetitive testing tasks and provide intelligent feedback to developers on both platforms.Deliver Scalable Infrastructure: Develop and maintain the high-scale platforms and testing environments used daily by the iOS and Android engineering organizations.Promote Engineering Craft: Implement best-in-class mobile patterns and modularity to improve testability and fault-tolerance across both native codebases.Contribute to Operational Excellence: Ensure our automated systems are performant and reliable, making data-driven decisions to optimize the CI/CD lifecycle for both platforms. A Typical Day Deliver Technical Excellence: Design and sustain foundational testing frameworks in Swift and Kotlin, emphasizing high performance and developer-centric reliability. Deploy Intelligent Automation: Integrate LLM-powered solutions to drive autonomous test discovery and smart orchestration across our native mobile ecosystems. Architect Quality by Design: Partner with cross-functional mobile teams to eliminate bottlenecks and ensure robust quality is integrated into the earliest stages of development. Modernize Infrastructure: Scale distributed testing systems to optimize the CI/CD lifecycle, effectively reducing build latency for both iOS and Android stacks. Drive R&D Initiatives: Work alongside Research and Data Science units to prototype next-generation tools that redefine software quality engineering. Elevate Engineering Standards: Participate in deep-dive code reviews and the Quality Guild to advocate for best-in-class mobile patterns across the organization. Your Expertise Experience: Up to 4+ years of professional mobile development experience in a fast-paced, high-growth tech environment. Technical Proficiency: Working knowledge of both Kotlin/Android SDK and Swift/iOS SDK, with experience using modern build tools (Gradle, Xcode). Framework Development: Demonstrated experience building or extending test automation frameworks (e.g., Espresso, Compose Test, XCUITest) and mobile infrastructure. Platform Mindset: A passion for building tools and SDKs that serve other engineers and improve the developer experience across platforms. AI Curiosity: An eagerness to learn and apply AI/LLMs to solve complex engineering and quality challenges. Execution & Ownership: Demonstrated ability to navigate complex codebases and take ownership of features or components from implementation to deployment. Communication: Effective communication skills with the ability to collaborate across diverse technical and product teams. 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. Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.