Data Science Intern, Airbnb
Community marketplace for holiday accomodation
Be an early applicant
Community marketplace for holiday accomodation
1001+ employees
Be an early applicant
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- This opportunity is for full-time Doctorate students enrolled at a nationally-accredited university in the United States graduating between December 2026 - June 2027 with the following background:
- Studying computer science, computer engineering, data science, or an equivalent technical field
- Knowledge of cutting edge GenAI techniques in the image domain
- Ability to read and summarize papers from the literature
- Solid Python coding skills
- Familiarity with at least one DNN framework (PyTorch or Tensorflow)
- Demonstrated interest in high growth, technology, and/or hospitality companies
- Work authorization for employment in the United States is required (CPT/OPT with 2-year STEM extension is accepted)
What the job involves
- 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
- 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
- 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
- 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
- Conducting literature reviews to identify ways in which active learning can be integrated into our current model
- Investigating innovative approaches to improving labeling for training and evaluation datasets
- Implementing an active learning pipeline for our existing model and analyzing the performance
- Investigating other approaches to improving label quality (e.g. LLM labeling agents)
- 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
- 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:
- Collaborate with multiple team members to achieve project milestones
- Communicate with stakeholders across different teams to provide project updates
- Seek and provide feedback throughout the internship
- Actively participate in and contribute to the Data Science org and broader Airbnb community
Our take
When Airbnb was originally founded, the product helped customers book air mattresses on people's apartment floors. Since then, Airbnb has had over a billion customers hosted through its platform. With more than 4 million registered hosts worldwide, it has grown into a major player in the hospitality sector.
Airbnb has been successful in disrupting the traditional holiday lettings sector. Before it existed accommodation was limited to hotels and bed and breakfasts, but Airbnb has mainstreamed the idea of renting out spare rooms or even entire homes. It has created a new sector of hosts purchasing properties to rent out on the platform and provides a level of flexibility and a range of offerings not previously possible for travelers.
Perhaps a victim of its own success, by 2022 supply of Airbnb-listed properties began to outstrip demand in some markets, as hosts overestimated the appetite for domestic travel. However, the company is still posting strong financials and has unveiled new tools to support its hosts in a tougher rental market. With a healthy bottom line and a huge user base, Airbnb is very likely to overcome the current market turbulence and continue its growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Apr 2020
$500m
GROWTH EQUITY VC
Mar 2017
$447.8m
SERIES F
Total funding: $3.8bn
Company benefits
- Paid volunteer time
- Health food and snacks
- Generous parental and family leave
- Learning and development
- Annual travel and experiences credit
Company HQ
Showplace Square, San Francisco, CA
Leadership
Brian Chesky
(Co-Founder & CEO)Previously an Industrial Designer, studying at Rhode Island School of Design.
Nathan Blecharczyk
(Co-Founder & CSO)Studied Computer Science at Harvard, and had around 4 years of professional Software Engineering experience before founding Airbnb, including interning at Microsoft.
Joe Gebbia
(Co-Founder)Also studied Industrial Design at Rhode Island, and previously founded various design-related startups
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