📌 Promowane
Senior Data Scientist, People Analytics & Research
Remote
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 …
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:
People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Our work is highly sought-after, and impacts stakeholders in our People function, and across the business. In this role, you'll take on some of the hardest questions about Airbnb's workforce - how we recruit, pay, develop, and retain our people - partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act on.
The Difference You Will Make:
The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research - applying causal inference and quasi-experimental methods to high-stakes people questions: how we recruit, hire, promote, and retain a best-in-class workforce; how we keep key company processes fair; and how work itself is changing. Employee listening and survey analysis are part of the mix, but the heart of the role is rigorous inferential research on observational people data. The role is highly cross-functional, and you will partner with Recruiting, Talent Leaders, Compensation, Legal, and Diversity & Belonging. We need a Data Scientist with a proven track record of translating data into insight and action.
If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.
A Typical Day:
Collaborate with partners and stakeholders to understand people-related business problems, and gather relevant people data to analyze
Utilize appropriate statistical models and data scien…
The Community You Will Join:
People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Our work is highly sought-after, and impacts stakeholders in our People function, and across the business. In this role, you'll take on some of the hardest questions about Airbnb's workforce - how we recruit, pay, develop, and retain our people - partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act on.
The Difference You Will Make:
The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research - applying causal inference and quasi-experimental methods to high-stakes people questions: how we recruit, hire, promote, and retain a best-in-class workforce; how we keep key company processes fair; and how work itself is changing. Employee listening and survey analysis are part of the mix, but the heart of the role is rigorous inferential research on observational people data. The role is highly cross-functional, and you will partner with Recruiting, Talent Leaders, Compensation, Legal, and Diversity & Belonging. We need a Data Scientist with a proven track record of translating data into insight and action.
If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.
A Typical Day:
Collaborate with partners and stakeholders to understand people-related business problems, and gather relevant people data to analyze
Utilize appropriate statistical models and data scien…
PythonPySQLSQLLLMLLMStaff Software Engineer, Payments (AirCover Insurance Platform)
Remote
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 …
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 AirCover Insurance Platform team builds the systems behind AirCover, which includes Host liability insurance, Experiences liability insurance and Host damage protection. We make it possible to launch and operate insurance products across global markets, and to learn quickly what increases the number of Hosts and guests who are protected. The team works with engineering, product, data science and legal partners across Airbnb's hubs.
What kind of Software Engineer are we looking for?
As a Staff Engineer on the AirCover Insurance Platform, you will lead the design and evolution of the core subsystems that manage policies, coverage, enrollment and regional rules, and the experimentation capabilities that drive attach rate. At the staff level, you establish the technical vision, then deliver a solution that is flexible, always available, auditable and able to scale with the needs of the business.
The Difference You Will Make
Design the future-state architecture that lets us expand AirCover to new regions and products without rebuilding for each market, balancing short-term launch needs against long-term technical quality.
Lead the design of an experimentation framework for insurance offers, pricing and placement, with trustworthy measurement of attach rate and downstream outcomes.
Lead engineers inside and outside your team in building these solutions, and be the technical lead and owner of significant scope through ambiguity.
Engage early with product managers, designers, data scientists and legal partners to shape requirements and steer teams toward the most efficient path …
The Community You Will Join
The AirCover Insurance Platform team builds the systems behind AirCover, which includes Host liability insurance, Experiences liability insurance and Host damage protection. We make it possible to launch and operate insurance products across global markets, and to learn quickly what increases the number of Hosts and guests who are protected. The team works with engineering, product, data science and legal partners across Airbnb's hubs.
What kind of Software Engineer are we looking for?
As a Staff Engineer on the AirCover Insurance Platform, you will lead the design and evolution of the core subsystems that manage policies, coverage, enrollment and regional rules, and the experimentation capabilities that drive attach rate. At the staff level, you establish the technical vision, then deliver a solution that is flexible, always available, auditable and able to scale with the needs of the business.
The Difference You Will Make
Design the future-state architecture that lets us expand AirCover to new regions and products without rebuilding for each market, balancing short-term launch needs against long-term technical quality.
Lead the design of an experimentation framework for insurance offers, pricing and placement, with trustworthy measurement of attach rate and downstream outcomes.
Lead engineers inside and outside your team in building these solutions, and be the technical lead and owner of significant scope through ambiguity.
Engage early with product managers, designers, data scientists and legal partners to shape requirements and steer teams toward the most efficient path …
JavaJavaPythonPy
GoGo
KotlinKtTestingTestSQLSQLStaff Software Engineer, Cloud Infrastructure
Remote
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 …
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 Cloud Infrastructure team is responsible for delivering and operating the foundational platforms and cloud environment that power Airbnb. We provide reliable, secure, efficient, and ergonomic platform for all Airbnb services to run seamlessly in the cloud.
Airbnb is a member of the Cloud Native Computing Foundation (CNCF) end user community, and we work closely with the open source community (e.g. k8s, istio) and peer companies to tackle cloud native engineering challenges at scale. You will also have the chance to make an impact on the industry and open source communities.
The Difference You Will Make:
As a Software Engineer on our Cloud Infrastructure team, you will be at the forefront of developing the infrastructure platform that supports all teams across Airbnb. Your primary focus will be on operations and delivery of components such as our developer APIs and CLIs, Kubernetes infrastructure, autoscaling and capacity management tools, and cloud infrastructure automation. With a global user base, our team's core values emphasize reliability, scalability, efficiency, and high availability.
A Typical Day:
Innovate and build cutting-edge cloud-native infrastructure using public cloud technologies.
Deliver secure, efficient, mature, and highly available frameworks and platforms that simplify infrastructure complexity.
Optimize and enhance existing systems and services to boost performance and operational efficiency.
Improve system availability by implementing industry best practices in distributed systems.
Collaborate with a diverse team of talented infrastructure e…
The Community You Will Join:
The Cloud Infrastructure team is responsible for delivering and operating the foundational platforms and cloud environment that power Airbnb. We provide reliable, secure, efficient, and ergonomic platform for all Airbnb services to run seamlessly in the cloud.
Airbnb is a member of the Cloud Native Computing Foundation (CNCF) end user community, and we work closely with the open source community (e.g. k8s, istio) and peer companies to tackle cloud native engineering challenges at scale. You will also have the chance to make an impact on the industry and open source communities.
The Difference You Will Make:
As a Software Engineer on our Cloud Infrastructure team, you will be at the forefront of developing the infrastructure platform that supports all teams across Airbnb. Your primary focus will be on operations and delivery of components such as our developer APIs and CLIs, Kubernetes infrastructure, autoscaling and capacity management tools, and cloud infrastructure automation. With a global user base, our team's core values emphasize reliability, scalability, efficiency, and high availability.
A Typical Day:
Innovate and build cutting-edge cloud-native infrastructure using public cloud technologies.
Deliver secure, efficient, mature, and highly available frameworks and platforms that simplify infrastructure complexity.
Optimize and enhance existing systems and services to boost performance and operational efficiency.
Improve system availability by implementing industry best practices in distributed systems.
Collaborate with a diverse team of talented infrastructure e…
AWSAWS
KubernetesK8s
DockerDocker
AzureAzure
GCPGCPSenior Software Engineer, Guest & Host
Remote
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 …
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:
Guest & Host Technology builds the end-to-end experience that connects people around the world: from the first search to the moment a trip becomes a memory. Because that experience lives natively on iOS and Android, with no cross-platform framework in between, we're looking for engineers who move fluidly across both platforms to keep architecture, performance, and product quality coherent everywhere our guests and hosts show up.
The Difference You Will Make:
We're looking for a Senior Software Engineer who can operate as a true dual-platform native engineer — someone with solid, current fluency in both iOS and Android. You'll own features end-to-end across both apps, and you'll be one of the people trusted to make architectural calls that need to hold up identically on Swift and Kotlin.
You'll write production code on both platforms, and you'll also be expected to think beyond any single feature: flagging where our two native codebases are drifting apart, where a shared contract (like our GraphQL client layer) needs to evolve, and helping less experienced engineers ramp into dual-platform work.
A Typical Day:
Design and ship features across our iOS (Swift) and Android (Kotlin) native codebases, often the same initiative, shipped in parallel on both platforms
Partner with design and product to translate one product spec into two platform-idiomatic implementations, rather than porting one platform's UI onto the other
Uphold architecture, performance, and app-size standards that apply equally to both platforms
Weigh in on shared client contracts (schema, logging, test…
The Community You Will Join:
Guest & Host Technology builds the end-to-end experience that connects people around the world: from the first search to the moment a trip becomes a memory. Because that experience lives natively on iOS and Android, with no cross-platform framework in between, we're looking for engineers who move fluidly across both platforms to keep architecture, performance, and product quality coherent everywhere our guests and hosts show up.
The Difference You Will Make:
We're looking for a Senior Software Engineer who can operate as a true dual-platform native engineer — someone with solid, current fluency in both iOS and Android. You'll own features end-to-end across both apps, and you'll be one of the people trusted to make architectural calls that need to hold up identically on Swift and Kotlin.
You'll write production code on both platforms, and you'll also be expected to think beyond any single feature: flagging where our two native codebases are drifting apart, where a shared contract (like our GraphQL client layer) needs to evolve, and helping less experienced engineers ramp into dual-platform work.
A Typical Day:
Design and ship features across our iOS (Swift) and Android (Kotlin) native codebases, often the same initiative, shipped in parallel on both platforms
Partner with design and product to translate one product spec into two platform-idiomatic implementations, rather than porting one platform's UI onto the other
Uphold architecture, performance, and app-size standards that apply equally to both platforms
Weigh in on shared client contracts (schema, logging, test…
ReactReactKotlinKt
FlutterFlutTestingTest
SwiftSwiftiOSiOSSenior Systems Engineer, Tech Foundations
Remote
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 …
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 BizTech BI&Analytics team partners with business and finance stakeholders to deliver scalable self-serve analytics & AI transformation programs, budgeting & forecasting solutions, reliable data pipelines, and trusted metrics & dashboards. Empowering timely, compliant, data-driven decisions and a robust analytics foundation across Airbnb.
The Difference You Will Make:
We are seeking a skilled Senior Systems Engineer to support our Oracle EPM Planning systems and processes, with a strong focus on bringing AI automation and AI agent capabilities into Finance workflows. This is an important role within the Airbnb BizTech organization supporting Finance. The ideal candidate combines solid technical depth in the Finance Budgeting and Forecasting function with hands-on experience building AI automation and AI agents. Responsibilities include financial forecast modeling, system and AI-driven process transformation, integration with the data warehouse, and translating business requirements into scalable Oracle EPM and AI-enabled solutions.
A Typical Day:
Technical Support & System Admin
Application: Support the design, configuration, and maintenance of Oracle EPM Planning modules (Financials, Workforce, Capital, Cash Forecast, Long Range Planning, etc).
Calculations & Modeling: Develop and maintain business rules and calc scripts. Proficiency in Groovy Scripting for data and forecast modeling.
Data Integration: Support data flows with AWS data warehouse, Oracle ERP Cloud, and Workday, leveraging Data Management, EPM Automate, and internal Airbnb integration tools.
Environment Mana…
The Community You Will Join:
The BizTech BI&Analytics team partners with business and finance stakeholders to deliver scalable self-serve analytics & AI transformation programs, budgeting & forecasting solutions, reliable data pipelines, and trusted metrics & dashboards. Empowering timely, compliant, data-driven decisions and a robust analytics foundation across Airbnb.
The Difference You Will Make:
We are seeking a skilled Senior Systems Engineer to support our Oracle EPM Planning systems and processes, with a strong focus on bringing AI automation and AI agent capabilities into Finance workflows. This is an important role within the Airbnb BizTech organization supporting Finance. The ideal candidate combines solid technical depth in the Finance Budgeting and Forecasting function with hands-on experience building AI automation and AI agents. Responsibilities include financial forecast modeling, system and AI-driven process transformation, integration with the data warehouse, and translating business requirements into scalable Oracle EPM and AI-enabled solutions.
A Typical Day:
Technical Support & System Admin
Application: Support the design, configuration, and maintenance of Oracle EPM Planning modules (Financials, Workforce, Capital, Cash Forecast, Long Range Planning, etc).
Calculations & Modeling: Develop and maintain business rules and calc scripts. Proficiency in Groovy Scripting for data and forecast modeling.
Data Integration: Support data flows with AWS data warehouse, Oracle ERP Cloud, and Workday, leveraging Data Management, EPM Automate, and internal Airbnb integration tools.
Environment Mana…
AWSAWSTestingTestSQLSQLLLMLLMData Scientist - Inference, Community Support
151 000 - 175 000 USD/rok
Remote
... Headquarters: Remote - USA Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home,…
...
Headquarters: Remote - USA
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:
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 & 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:
Design rigorous experiments & quasi-experiments to measure the causal impact of CS product launches and drive data-informed launch decisions.
Build causal ML models to optimize Make Goods budget allocation and maximize business impact.
Conduct causal inference analyses to quantify the long-term effects of product changes and uncover heterogeneous treatment eff…
Headquarters: Remote - USA
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:
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 & 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:
Design rigorous experiments & quasi-experiments to measure the causal impact of CS product launches and drive data-informed launch decisions.
Build causal ML models to optimize Make Goods budget allocation and maximize business impact.
Conduct causal inference analyses to quantify the long-term effects of product changes and uncover heterogeneous treatment eff…
PythonPySQLSQLSenior Machine Learning Engineer, Payments
Remote
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 …
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:
Payments is key for any healthy marketplace, and is just as central to our product at Airbnb. The Payments org at Airbnb is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible. At the Payments modeling team, our goal is to empower the mission by introducing intelligences and personalizations that optimize Airbnb’s massive daily transaction volume to best collect payments from guests, distribute payouts to hosts while preventing fraudulent transactions from happening.
The Difference You Will Make:
As a Senior ML Engineer for Payments, you will be the catalyst that transforms bold AI innovation - LLMpowered workflow, realtime fraud defenses, and hyperpersonalized checkout flows - into production systems that make Airbnb Payment experience feel effortless and secure; you’ll architect and own end-to-end solutions at global scale, partner closely with product, software, and operations teams to turn complex requirements into elegant, latencyfirst services, and set the technical standard for model governance, continuous learning, and engineering excellence that elevates our entire payments ecosystem while shaping the company’s broader AI strategy.
A Typical Day:
Spearhead LLM agents, realtime anomaly detectors, and other breakthrough solutions that solve real-world problems and create product magic.
Collaborate with product, engineering, ops, and data science to spot high leverage opportunities, refine AI/ML requirements, make principled architecture choices, an…
The Community You Will Join:
Payments is key for any healthy marketplace, and is just as central to our product at Airbnb. The Payments org at Airbnb is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible. At the Payments modeling team, our goal is to empower the mission by introducing intelligences and personalizations that optimize Airbnb’s massive daily transaction volume to best collect payments from guests, distribute payouts to hosts while preventing fraudulent transactions from happening.
The Difference You Will Make:
As a Senior ML Engineer for Payments, you will be the catalyst that transforms bold AI innovation - LLMpowered workflow, realtime fraud defenses, and hyperpersonalized checkout flows - into production systems that make Airbnb Payment experience feel effortless and secure; you’ll architect and own end-to-end solutions at global scale, partner closely with product, software, and operations teams to turn complex requirements into elegant, latencyfirst services, and set the technical standard for model governance, continuous learning, and engineering excellence that elevates our entire payments ecosystem while shaping the company’s broader AI strategy.
A Typical Day:
Spearhead LLM agents, realtime anomaly detectors, and other breakthrough solutions that solve real-world problems and create product magic.
Collaborate with product, engineering, ops, and data science to spot high leverage opportunities, refine AI/ML requirements, make principled architecture choices, an…
JavaJavaPythonPyTestingTest
KafkaKafka
SparkSpark
AirflowAirf// rekrutujesz w Airbnb?
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