
Belong anywhere.
Machine Learning Engineer, Customer Support Engineering
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 Core ML team in Community Support is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and more! The team is constantly exploring the SOTA Agentic architecture, develops and enhances various AI models, ML services and leverages tools including SFT, Reinforcement learning, Distillation, 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:
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:
- Champion 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 or Master's degree w/ 3+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience
- Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks
- Experience building Agentic AI systems — including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., Re Act, Lang Graph, Auto Gen, or similar)
- Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices
- Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and 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
$162,000 —$186,000 USD
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Airbnb 소개

Airbnb
PublicAn online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet.
5,001-10,000
직원 수
San Francisco
본사 위치
$75B
기업 가치
리뷰
10개 리뷰
3.7
10개 리뷰
워라밸
3.2
보상
3.5
문화
4.1
커리어
3.0
경영진
2.8
68%
지인 추천률
장점
Great team culture and colleagues
Flexible work arrangements and remote options
Good benefits and perks
단점
Work-life balance challenges
Communication issues and lack of direction
Fast-paced and stressful environment
연봉 정보
37개 데이터
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
L3
L4
L5
Junior/L3 · Data Scientist L3
0개 리포트
$240,579
총 연봉
기본급
-
주식
-
보너스
-
$204,492
$276,666
면접 후기
후기 2개
난이도
3.5
/ 5
소요 기간
14-28주
합격률
50%
경험
긍정 50%
보통 50%
부정 0%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Interviews
6
Behavioral Interview
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
최근 소식
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