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

As a Staff Software Engineer on the AI Enablement team, you will play a critical role in accelerating the development and deployment of AI-powered applications at Airbnb. You’ll work directly with product teams across the company to improve iteration speed, application quality, and operational scale. Your insights and technical expertise will also shape the future of our machine learning infrastructure, enabling hundreds of ML engineers and data scientists to build world-class AI experiences. Come build the future of AI at Airbnb.

A Typical Day

Collaborate closely with teams across Airbnb—such as Customer Support, Search Relevance, and Trust & Safety—to deliver impactful AI-driven product features.
Develop flexible, high-leverage tooling and infrastructure to support the use of foundational models (language and vision) across Airbnb.
Work with cutting-edge open-source technologies including LangGraph, Hugging Face, PyTorch, Ray etc.
Rapidly prototype, evaluate, and iterate on GenAI applications that unlock new product capabilities.
Champion clean abstractions and reusable components that balance speed, scalability, and reliability

Your Expertise

9+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
Deep familiarity with machine learning engineering practices, particularly around training and deploying PyTorch, TensorFlow, or Hugging Face models in production. Prior experience with deploying or supporting production ML systems at scale.
Passionate about AI with a strong grasp of current trends in Generative AI, LLMs, and related technologies.
Fast learner with a bias for execution—able to ramp up quickly on new tools and technologies.
Excellent collaboration and communication skills—able to earn the trust of cross-functional partners and influence without authority.
You may currently hold titles such as ML Engineer, Applied Scientist, or ML Infrastructure Engineer, but what sets you apart is your hunger to learn, ship, and support AI systems in production. You’re not just excited about what’s next in AI—you’re ready to build it.

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

$204,000—$255,000 USD