Airbnb

<div>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.</div>The Community You Will Join:
MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI through data-informed decision-making. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, Engineering, and Product to provide actionable recommendations and tools based on effective, timely, and granular measurements.
The Difference You Will Make:
We are seeking experienced Data Scientists to serve as technical anchors across our team’s two pillars. The ideal candidate combines depth in causal inference, experimentation, and customer relationship modeling with the ability to drive rigor in solutions and data-informed decision making across the team and our cross-functional partners.
<ul>
<li>Actionable: Deliver insights that drive confident business decisions.</li>
<li>Impactful: Prioritize projects based on their expected value to Airbnb.</li>
<li>Balanced: Adapt methods to business questions and data realities, acknowledging limitations.</li>
<li>Rigorous: Maintain methodological integrity and quantify the sensitivity of findings.</li>
<li>Innovative: Invest in advancing measurement science and developing new methods.</li>
<li>Influential: Share learnings across Airbnb and the broader data science community.</li>
</ul>
A Typical Day:
<ul>
<li>Causal Inference: Apply and develop causal inference methods to estimate the effectiveness of Airbnb’s marketing initiatives.</li>
<li>Data Analysis: Conduct data pulls, analyze trends, and create new features to support measurement efforts.</li>
<li>Experimentation: Design and analyze experiments to evaluate the impact of marketing campaigns.</li>
<li>Collaboration: Work effectively with cross-functional teams, providing insights that optimize marketing strategies.</li>
<li>Thought Leadership: Lead the creation of internal white papers and contribute to Airbnb tech blog posts.</li>
</ul>
Your Expertise:
<ul>
<li>PhD in Economics, Statistics, Marketing, or a related field, or a Masters Degree in a similar field with 2+ years of experience.</li>
<li>Deep knowledge of causal inference methodologies and experimentation techniques.</li>
<li>Proficiency in statistical programming (Python or R), database usage (SQL), and agentic coding.</li>
<li>Ability to communicate complex concepts clearly to stakeholders at varying technical levels.</li>
<li>Proven track record of solving business problems through data science methods.</li>
</ul>
Preferred Expertise:
<ul>
<li>PhD in Economics, Statistics, Marketing, or a related field.</li>
<li>Passion for marketing and consumer science, with a desire to stay informed about the latest academic research.</li>
<li>Familiarity with Bayesian modeling and its applications in marketing.</li>
<li>Experience with causal ML modeling.</li>
<li>Experience in developing end-to-end models for data-driven decision-making.</li>
</ul>
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. <a href="https://careers.airbnb.com/" rel="noopener noreferrer ugc" target="_blank">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</a>. 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 &amp; 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: <a href="mailto:reasonableaccommodations@airbnb.com">reasonableaccommodations@airbnb.com</a>. 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.<div><div><div>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.  </div><div>Pay Range</div><div>$151,000—$175,000 USD</div></div></div>

Data Scientist, Platform

<div>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.</div>The Community You Will Join: 
The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. In this role you'll focus on query intelligence, the front door of search working on critical, impactful projects that turn what a guest types, taps, or says into a precise understanding of their intent, spanning autocomplete and smart compose, query tagging, query expansion, and intent modeling across Stays, Experiences, and Services.
The Difference You Will Make:
Query understanding is where every search begins, and it directly shapes retrieval, ranking, and ultimately the perfect match between guests and hosts. We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) and increasingly large language models at Airbnb. You'll build the models that parse free-form and natural-language multimodal queries, extract entities and location context, classify intent, and anticipate what guests want before they finish typing. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb's mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here:<a href="https://sites.google.com/view/airbnb-relevance-publications/home" rel="noopener noreferrer ugc" target="_blank"> https://sites.google.com/view/airbnb-relevance-publications/home</a>
A Typical Day: 
<ul>
<li>Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases, with a focus on query understanding.</li>
<li>Develop query understanding capabilities — autocomplete and smart compose, query tagging (sequence tagging / NER), query expansion, and query/user intent modeling — and natural-language ("search in your own words") search experiences powered by modern NLP and LLMs.</li>
<li>Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.</li>
<li>Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.</li>
<li>Leverage third-party and in-house Machine Learning tools &amp; infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.</li>
<li>Example projects include: smart compose and language generation for search, LLM-based sequence taggers, LLM-driven query/location expansion, intent classification, and user-intent sequence modeling.</li>
</ul>
 Your Expertise:
<ul>
<li>5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.</li>
<li>Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.</li>
<li>Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. natural language processing, personalization, search and recommendation, marketplace optimization).</li>
<li>Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive).</li>
<li>Industry experience building end-to-end Machine Learning models.</li>
<li>Experience applying large language models and modern NLP — e.g., sequence tagging/NER, text generation, intent classification, or embedding/representation learning.</li>
<li>Familiarity with building natural-language, AI-native and agentic search experiences is a plus.</li>
<li>Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).</li>
</ul>
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. <a href="https://careers.airbnb.com/" rel="noopener noreferrer ugc" target="_blank">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.</a> 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 &amp; 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: <a href="mailto:reasonableaccommodations@airbnb.com">reasonableaccommodations@airbnb.com</a>. 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.<div><div><div>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.  </div><div>Pay Range</div><div>$200,000—$235,000 USD</div></div></div>

Senior Machine Learning Engineer, Relevance and Personalization (Query Intelligence)

<div>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.</div>The Community You Will Join: 
The mission of the Core Data Science team is to ensure that we are leveraging state of the art science at Airbnb for the highest possible impact on the business and the community. We do that by building reusable tools and models that empower DS teams across the organization; and by tackling the most technically challenging, high impact data science problems the company faces.
The Difference You Will Make:
Estimating the causal impact of product changes is a core function of data science at Airbnb. This is typically done through short term experiments or quasi-experiments. However, ultimately we are interested not in maximizing the short term impact of what we do, but rather optimizing for the long term. Doing this well requires accurately estimating the long term impact of platform changes through frameworks that connect short-term outcomes to long-term impact. 
In this role, you will develop and improve our frameworks for long-term impact estimation and own the most important estimation problems you identify. We are looking for someone that can develop the science and ensure it is fitted to Airbnb's problem space and stakeholder needs. Success is better long-term impact estimation in practice, not just in theory.
A Typical Day: 
<ul>
<li>Develop causal estimates for long-term impact of short-term metric movements.</li>
<li>Build frameworks for estimating how the impact of product changes evolves over time. </li>
<li>Create frameworks and tooling to evaluate the heterogeneous impact of product changes</li>
<li>Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.</li>
</ul>
Your Expertise:
<ul>
<li>Advanced degree in a quantitative field, e.g. Operations Research, Economics, Mathematics, Physics</li>
<li>Proven ability to design analytical solutions to complex problems with real world applications</li>
<li>Familiarity with recent developments in causal inference</li>
<li>6+ years (with Ph.D) or 8+ yrs (with Masters) of experience of working or doing research in one or more experimentation / causal inference domains</li>
<li>Strong programming (R, Python / Scala / Java / C++ or equivalent) skills</li>
<li>Versatility to communicate clearly with both technical and non-technical audiences.</li>
<li>Publications or presentations in recognized Data Science journals/conferences is a plus.</li>
</ul>
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. <a href="https://careers.airbnb.com/" rel="noopener noreferrer ugc" target="_blank">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</a>. 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 &amp; 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: <a href="mailto:reasonableaccommodations@airbnb.com">reasonableaccommodations@airbnb.com</a>. 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.<div><div><div>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.  </div><div>Pay Range</div><div>$200,000—$242,000 USD</div></div></div>

Staff Data Scientist - Long Term Impact

<div>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.</div>The Community You Will Join: 
The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. 
The Difference You Will Make:
We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here:<a href="https://sites.google.com/view/airbnb-relevance-publications/home" rel="noopener noreferrer ugc" target="_blank"> https://sites.google.com/view/airbnb-relevance-publications/home</a>
A Typical Day: 
<ul>
<li>Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.</li>
<li>Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.</li>
<li>Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.</li>
<li>Leverage third-party and in-house Machine Learning tools &amp; infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.</li>
</ul>
Your Expertise:
<ul>
<li>New grad Ph.D in ML/AI or 2+ years of industry experience in applied ML/AI with a M.S. or B.S degree.</li>
<li>Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.</li>
<li>Deep understanding of Machine Learning best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection).</li>
<li>Exposure to 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive).</li>
<li>Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).</li>
<li>Proven ability to choose the right ML method to solve the problem within current constraints while having a clear vision of the next iterations and a good balance between exploration and exploitation of different techniques.</li>
<li>Ability to go deep and build the most impactful solutions while also leading multiple directions across multiple teams and organizations to ensure the success of our mission.</li>
</ul>
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. <a href="https://careers.airbnb.com/" rel="noopener noreferrer ugc" target="_blank">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.</a> 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 &amp; 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: <a href="mailto:reasonableaccommodations@airbnb.com">reasonableaccommodations@airbnb.com</a>. 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.<div><div><div>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.  </div><div>Pay Range</div><div>$166,000—$195,000 USD</div></div></div>

Machine Learning Engineer, Relevance and Personalization

<div>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.</div>The Community You Will Join: 
Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. Our Community Support (CS) team is at the heart of that mission—delivering seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey.
As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests &amp; hosts using advanced causal inference analysis for Community Support.
The Difference You Will Make:
We're looking for a motivated and talented Data Scientist with strong causal inference expertise to join the Community Support Data Science team. You'll partner closely with the area's tech lead on high-impact projects spanning AI-powered products, differentiated service, and operations optimization.
The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity to drive clarity in complex problem spaces. You’ll work on high-impact projects like:
<ul>
<li>Design rigorous experiments &amp; quasi-experiments to measure the causal impact of CS product launches and drive data-informed launch decisions.</li>
<li>Build causal ML models to optimize Make Goods budget allocation and maximize business impact.</li>
<li>Conduct causal inference analyses to quantify the long-term effects of product changes and uncover heterogeneous treatment effects.</li>
<li>Deliver strategic insights on quality-cost tradeoffs, empowering leadership to deliver the best possible support experience to our community.</li>
</ul>
A Typical Day: 
<ul>
<li>Inference &amp; Measurement: Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance and uncover opportunities for improvement.</li>
<li>Modeling: Build, evaluate and iterate on causal ML models that power high-stakes decisions, applying best practices across the full model lifecycle from feature engineering to production deployment</li>
<li>Optimization: Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience and operational cost), and propose strategies to improve overall effectiveness.</li>
<li>Collaborate Cross-Functionally: Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.</li>
<li>Influence Decisions: Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making.</li>
<li>Empowerment: Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes.</li>
</ul>
Your Expertise:
<ul>
<li>2+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or PhD in relevant fields.</li>
<li>Strong knowledge of causal inference and experimental design.</li>
<li>Strong knowledge of Bayesian modeling and statistical inference.</li>
<li>Hands-on experience building and deploying statistical or ML models in production environments.</li>
<li>Skilled in statistical programming (Python/R) and database usage (SQL).</li>
<li>Proven ability to communicate clearly and effectively to audiences of varying technical levels.</li>
<li>Ability to translate complex findings into compelling narratives that drive impact.</li>
<li>Excellent project management, communication and collaboration skills.</li>
</ul>
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. <a href="https://careers.airbnb.com/" rel="noopener noreferrer ugc" target="_blank">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</a>. 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 &amp; 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: <a href="mailto:reasonableaccommodations@airbnb.com">reasonableaccommodations@airbnb.com</a>. 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.<div><div><div>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.  </div><div>Pay Range</div><div>$151,000—$175,000 USD</div></div></div>

Airbnb

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Data Scientist, Platform

Senior Machine Learning Engineer, Relevance and Personalization (Query Intelligence)

Staff Data Scientist - Long Term Impact

Machine Learning Engineer, Relevance and Personalization

Data Scientist - Inference, Community Support

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