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Airbnb Engineering Jobs (NOW HIRING)

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... You will partner directly with cross-organizational engineering teams, as well as cross-functional ...

... Airbnb helps build trust in us and our community. Trust Engineering is responsible for the technology vision and development of a complex stack that runs on every key interaction on the platform.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... You will partner with BizTech engineering teams to improve service efficiency and security, and ...

Own how guests search on Airbnb end to end - from the moment they express intent to the moment they find the right option. * Partner closely with engineering, applied ML, and data science teams to ...

Operations Engineer, BizTech

$71K - $96K/yr

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... As an Operations Engineer, you'll apply AI at the forefront of BizTech's operational health: using ...

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... We partner closely with product, engineering, policy, and operations teams across Trust to detect ...

Own how guests search on Airbnb end to end - from the moment they express intent to the moment they find the right option. * Partner closely with engineering, applied ML, and data science teams to ...

... Airbnb beyond its core stays offering. We are seeking an exceptional product manager to drive this incubation engine - partnering closely with business, partnerships, engineering, and design to take ...

Bring together teams from across Airbnb, including product, design, engineering, data science, payments, trust, customer support, marketing, and policy, around a shared plan. * Launch in stages ...

... engineering, design, operations, data science, and more, leading teams to execute a shared vision. They are incredibly detail-oriented and hands on. The Difference You Will Make: Airbnb has always ...

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... Strong programming (R, Python / Scala / Java / C++ or equivalent) skills * Versatility to ...

Bring together teams from across Airbnb, including product, design, engineering, data science, payments, trust, customer support, marketing, and policy, around a shared plan. * Launch in stages ...

... engineering, design, operations, data science, and more, leading teams to execute a shared vision. They are incredibly detail-oriented and hands on. The Difference You Will Make: Airbnb has always ...

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... Produce experiential programming - events, special guests, activations - for internal and external ...

Showing results 21-40

Airbnb Engineering information

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$12

$31

$57

How much do airbnb engineering jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for airbnb engineering in the United States is $31.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $37.98 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an Airbnb engineer?

To thrive as an Airbnb Engineer, you need a solid background in software engineering, computer science fundamentals, and experience with scalable web application development. Familiarity with technical tools such as React, Java, Python, distributed systems, and cloud platforms like AWS is highly valued, along with a relevant degree or equivalent experience. Strong problem-solving abilities, collaboration, and effective communication skills help engineers work seamlessly in cross-functional teams and adapt to evolving project requirements. These skills are crucial for building reliable, user-centric products that support Airbnb's global platform and enhance the user experience.

What is the difference between Airbnb Engineering vs Airbnb Software Development?

AspectAirbnb EngineeringAirbnb Software Development
Required CredentialsBachelor's in Computer Science or related field, coding skills, experience in software engineeringSimilar credentials, focus on coding, software design, and development skills
Work EnvironmentCollaborative teams, agile methodology, product-focusedDevelopment teams, project-based tasks, cross-functional collaboration
Employer & Industry UsageUsed interchangeably within Airbnb for technical roles involving system design and engineeringOften used for roles focused on coding, software creation, and application development

Airbnb Engineering and Airbnb Software Development roles often overlap, with both requiring strong coding skills and technical expertise. Engineering tends to emphasize system design and infrastructure, while Software Development focuses more on creating and maintaining applications. Understanding these nuances helps candidates target the right roles within Airbnb's tech teams.

What does an Airbnb engineer do?

Airbnb engineers are responsible for designing, building, and maintaining the technology infrastructure that powers Airbnb's platform. They work on a range of projects such as improving user experience, developing new features, ensuring data security, and maintaining the reliability and scalability of the site. Airbnb engineers collaborate with product managers, designers, and other teams to deliver solutions that support both guests and hosts. Their work spans backend services, frontend interfaces, and mobile applications, using modern programming languages and cloud technologies.

How do Airbnb engineering teams typically collaborate across different functions within the company?

Airbnb Engineering teams frequently work in cross-functional squads that include product managers, designers, and data scientists. This collaborative environment allows engineers to contribute technical expertise while staying closely aligned with project goals, user needs, and business objectives. Regular stand-ups, sprint planning sessions, and code reviews are common practices that foster open communication and continuous improvement. This structure not only helps engineers gain broader perspectives but also encourages skill development and career growth through exposure to diverse challenges and solutions.
More about Airbnb Engineering jobs

What states have the most Airbnb Engineering jobs?

States with the most job openings for Airbnb Engineering jobs include:

Infographic showing various Airbnb Engineering job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $65,624 per year, or $31.6 per hour.

Senior Staff Machine Learning Engineer, Post Training

Airbnb

Remote

$107K - $146K/yr

Full-time

Re-posted 10 days ago


Airbnb rating

6.1

Company rating: 6.1 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

15th of 21 rated holiday rentals


Job description

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.
The Difference You Will Make:
As a senior staff 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.
A Typical Day:
  • 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.

Your Expertise:
  • 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

Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$248,000-$310,000 USD

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