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<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">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.</span></p></div><p><strong>The community you will join:</strong></p> <p>Airbnb is seeking a (PhD) Data Science Intern to join the Core Data Science team for our 2026 Summer Intern Program from June 1, 2026 - August 21, 2026.</p> <p>The Data Science organization aims to be a business multiplier by solving complex and technical questions that underlie the foundations of Airbnb’s business through a mix of data research, modeling, and empirical methods.</p> <p>Core Data Science at Airbnb aims to innovate and apply deep scientific approaches to solve critical problems for the the Airbnb platform and it's users. The team aims to accelerate scalable scientific innovation through bringing new methods and technologies to Airbnb problems across the company.</p> <p> </p> <p><strong>The difference you will make:</strong></p> <p>During the internship, you’ll be integrated into the Trip Intelligence working group at Airbnb. Airbnb's product is the Trip, and the Trip Intelligence working seeks to transform our understanding of what happens in the real world on trips. The primary goal of your role is to improve the quality of our GSAT model, which infers Guest satisfaction with their trip experience through applications of AI to a variety of data sources.</p> <p>Key responsibilities includes:</p> <ul> <li>Conducting literature reviews to identify ways in which active learning can be integrated into our current model.</li> <li>Investigating innovative approaches to improving labeling for training and evaluation datasets.</li> <li>Implementing an active learning pipeline for our existing model and analyzing the performance</li> <li>Investigating other approaches to improving label quality (e.g. LLM labeling agents).</li> </ul> <p>This internship offers a unique opportunity to work on a cutting-edge problem, leveraging your knowledge of GenAI methods. You will have the chance to participate in exploratory research that directly impacts our understanding of the core part of the Airbnb experience, while also gaining valuable experience in the field.</p> <p> </p> <p><strong>A typical day:</strong></p> <p>As an intern, you’ll be integrated into a team where you’ll contribute to challenging projects. Your manager, team, and our incredible employee community will strive to be superhosts to you during the summer. We provide the support, mentorship, fun, and real world experience needed to accelerate your learning and make a real impact on our product, as Airbnb revolutionizes connection, belonging, and travel. You can expect to:</p> <ul> <li>Collaborate with multiple team members to achieve project milestones</li> <li>Communicate with stakeholders across different teams to provide project updates</li> <li>Seek and provide feedback throughout the internship</li> <li>Actively participate in and contribute to the Data Science org and broader Airbnb community</li> </ul> <p> </p> <p><strong>Your expertise:</strong></p> <p>This opportunity is for <strong>full-time Doctorate students enrolled at a nationally-accredited university in the United States graduating between December 2026 - June 2027 </strong>with the following background:</p> <ul> <li>Studying computer science, computer engineering, data science, or an equivalent technical field</li> <li>Knowledge of cutting edge GenAI and LLM techniques</li> <li>Ability to read and summarize papers from the literature</li> <li>Solid Python coding skills</li> <li>Familiarity with at least one DNN framework (PyTorch or Tensorflow)</li> <li>Demonstrated interest in high growth, technology, and/or hospitality companies</li> <li>Work authorization for employment in the United States is required (CPT/OPT with 2-year STEM extension is accepted)</li> </ul> <p><strong>Your Location:</strong></p> <p>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
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