Staff Machine Learning Engineer, Community Support Engineering
Airbnb
Staff Machine Learning Engineer, Community Support Engineering at Airbnb is a full time role based in San Francisco, CA, United States. The listing states pay of $212k–$260k. It was published on 23 June 2026 and was open at last check.
| Role | Staff Machine Learning Engineer, Community Support Engineering |
|---|---|
| Company | Airbnb |
| Location | San Francisco, CA, United States |
| Employment type | Full Time |
| Pay (as listed) | $212k–$260k |
| Published | 23 June 2026 |
| Status | Open at last check |
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 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.
Your Expertise:
- PhD/Master’s degree, preferably in CS, or equivalent experience
- 9+ 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
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
$212,000 — $260,000 USD
Create your free OnJob profile to apply — we'll take you to Airbnb's application after sign-up. · Posted 23 Jun 2026.
Staff Machine Learning Engineer, Community Support Engineering at Airbnb — questions answered
What does the Staff Machine Learning Engineer, Community Support Engineering role at Airbnb pay?
The Staff Machine Learning Engineer, Community Support Engineering at Airbnb listing states pay of $212k–$260k for the San Francisco, CA, United States position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.
Where is the Staff Machine Learning Engineer, Community Support Engineering role at Airbnb based?
Airbnb lists this Staff Machine Learning Engineer, Community Support Engineering role in San Francisco, CA, United States, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Airbnb before you apply.
Is the Staff Machine Learning Engineer, Community Support Engineering role at Airbnb still open?
The Staff Machine Learning Engineer, Community Support Engineering posting at Airbnb was open at OnJob's last check of the employer's careers page, having been published on 23 June 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Staff Machine Learning Engineer, Community Support Engineering role at Airbnb?
Apply to the Staff Machine Learning Engineer, Community Support Engineering at Airbnb role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Airbnb's own application page. Creating a profile is free and needs no card.
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