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 helping create a world where anyone can belong anywhere. Customer Support (CS) aims to build the world’s most loyal travel community through exceptional service. Personalizing our CS offerings will allow us to meet our customers when and how they need us most.
As a Data Scientist working on Algorithms in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to build scalable and robust systems to match our services to specific customer needs. You will be able to create meaningful impact through deep scientific understanding and by designing interventions for Airbnb CS’s most critical challenges.
The Difference You Will Make:
For this role, we’re seeking a candidate with ML/LLM proficiency to join the Customer Support Data Science team. You will work closely with the tech lead for this area on significant components of larger projects and have a direct opportunity to contribute and influence in the differentiated service space by designing scalable scientific solutions for problems like:
- Build ML/LLM models to understand customer issues and identify the most important areas to prioritize for resolutions.
- Leverage generative AI methods to understand customer service experiences based on diverse datasets, and identify failure modes and opportunities for improvement.
- Implement advanced techniques to automate the evaluation of LLM, ensuring high efficiency and quality.
A Typical Day:
- Identify high-impact business opportunities through data exploration and prototyping, translating business problems into scientific formulations.
- Collaborate closely with cross-functional partners—including software engineers, product managers, operations, and analytics—to refine ML/LLM requirements, drive scientific decisions, and quantify business impact.
- Develop, productionize, and operate models and pipelines at scale for both batch and real-time use cases, structured and unstructured data.
- Build scalable performance measurement solutions for LLM evaluation using internal tooling, integrating industry best practices and state-of-the-art innovations.
- Use AI to automate repetitive data science workflows and enhance efficiency.
Your Expertise:
- 2+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields.
- Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse.
- Deep understanding of machine learning lifecycle best practices (e.g. training/serving, feature engineering, feature/model selection, labeling, A/B test), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, personalization and recommendation).
- Proficiency with LLMs and/or related AI, NLP. For example, BERT, GPT-2/3/4, LLaMA, Mistral.
- Proven ability to communicate clearly and effectively to audiences of varying technical levels, observation causal inference skill is a plus.
- Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus.
- Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience.
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: [email protected]. 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.
Airbnb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbnb and has not been reviewed or approved by Airbnb.
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Fair & Transparent Compensation — Pay ranges and total compensation components are increasingly disclosed, and country-level pay practices avoid location-based cuts, which feedback suggests improves consistency and perceived fairness.
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Healthcare Strength — Comprehensive core health coverage for employees, mental health resources, and substantial dependent support are repeatedly highlighted as robust and a standout element of the package.
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Leave & Time Off Breadth — Generous PTO, a winter shutdown, sabbaticals, and paid volunteer time are described as extensive, with parental leave and phased return options reinforcing time-off flexibility.
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What We Do
Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.
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