Join Airbnb as a Senior Data Scientist - Listing Understanding

Airbnb began in 2007 when two hosts welcomed three guests to their San Francisco home. Since then, it has grown to over 4 million hosts who have welcomed more than 1 billion guest arrivals in nearly every country worldwide. Each day, our hosts create unique stays and experiences, enabling guests to connect with communities authentically.

The Community You Will Join

Become part of a team of dedicated data scientists working on cutting-edge technologies to extract and structure information from rich Airbnb listings. Our platform team specializes in Computer Vision and Multimodality, focusing on the latest CV/Multi-modality technologies and how they can be applied to enhance the experiences of our hosts and guests.

The Difference You Will Make

We are seeking a deep learning expert to join our Listing Understanding Data Science team. This role offers a direct opportunity to contribute, influence, and lead by designing scalable scientific solutions for various challenges, including:

• Utilizing large-scale unstructured data through computer vision and multi-modality techniques
• Identifying unique salient traits for each listing for improved search and personalization
• Reasoning about a listing across multiple modalities to recommend better stays

A Typical Day

Your daily activities will include:

• Identifying high-impact business opportunities through literature review and model prototyping, translating business problems into scientific formulations
• Collaborating with cross-functional partners, including software engineers, product managers, and researchers, to refine machine learning model requirements, drive scientific decisions, and quantify impact
• Developing, productionizing, and operating machine learning models at scale, handling both batch and real-time use cases along with structured and unstructured data
• Building reusable, high-performing, scalable machine learning models using internal tools and incorporating third-party information and state-of-the-art innovations
• Presenting work internally at monthly meetings to iterate and generate excitement about roadmap progress
• Publishing externally and engaging with the scientific community to enhance Airbnb’s standing

Your Expertise

We are looking for candidates with the following qualifications:

• 5+ years of relevant industry experience (e.g., ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields
• Expertise in Deep Learning frameworks (PyTorch preferred) and Transformer architectures
• Hands-on experience with Computer Vision and Multimodality problems; proficiency with LLMs, AI, NLP, deep learning, information retrieval, or knowledge extraction is a plus
• Strong proficiency in Python and SQL
• Deep understanding of the Machine Learning lifecycle best practices, algorithms, and domains
• Proven ability to communicate effectively with audiences of varying technical levels
• Strong intellectual curiosity paired with a pragmatic approach and active engagement in the technical community
• Publications or presentations in recognized journals/conferences are a plus
• Product-oriented mindset with innovative thinking to develop user experience solutions

Your Location

This position is US-Remote Eligible. It may occasionally require work at an Airbnb office or attendance at offsite events as agreed upon with your manager. Your state of residence must be one where Airbnb, Inc. is registered. Please check our list of excluded states, which is continuously evolving.

Our Commitment to Inclusion & Belonging

At Airbnb, we strive to work with the broadest talent pool possible. We believe that diverse ideas foster innovation and engagement, allowing us to attract creatively-led people and develop the best products, services, and solutions. We encourage all qualified individuals to apply.

We also strive to provide a disability-inclusive application and interview process. If you need reasonable accommodation, please contact us at: with your full name, the role you’re applying for, and the accommodation needed.

How We'll Take Care of You

Our job titles may span more than one career level. Base pay depends on factors like training, transferable skills, work experience, business needs, and market demands. The base pay range for this role is $174,000—$213,500 USD.