[Hiring] Machine Learning Engineering Intern @Airbnb

Role Description

Airbnb is seeking a Machine Learning Engineer Intern for our 2026 Summer Intern Program. Machine Learning at Airbnb is a diverse and dynamic field, with teams working on various aspects of the ML landscape. We are using ML to tackle various challenges in search ranking, payments, fraud prevention, discrimination, and growth all while maintaining a beautiful experience.

• Contribute to challenging projects
• Drive a project from end-to-end that aligns with your technical interest and goals
• Explore how new advancements in AI agents can be applied to Airbnb search and discovery experience
• Own and drive a capstone project from beginning to end
• 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 Engineering org and broader Airbnb community

Qualifications

• Doctorate students with at least 1 semester of school remaining after the internship (expected graduation after December 2026)
• Studying Computer Science or a related field
• Knowledge of AI, especially large language model (LLM) fundamentals including fine tuning, data synthesis, reinforcement learning, etc.
• Expertise of building large scale ReAct style AI agents
• Proficient in Python and other open source LLM libraries like Huggingface
• Publications in top Machine Learning and NLP conferences are a big plus
• Leadership position, AI community involvement, and or teaching/mentoring experience is a plus
• Work authorization for employment in the United States is required

Requirements

• 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
• You must live in a state where Airbnb, Inc. has a registered entity

Benefits

• Pay Rate: $4,500.00 biweekly
• Pay Range: $20 — $50 USD
• This role may also be eligible for benefits and Employee Travel Credits

Company Description

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 Search Relevance and Personalization team is responsible for building search ranking algorithms and the personalization platform that serves multiple product surfaces
• The team consists of 30+ ML Engineers working on different aspects of relevance and personalization
• The team is very much experimentation oriented and runs frequent A/B tests to improve the relevance of the product surfaces they power
• The team is also very much applied research oriented and regularly publishes work at KDD, CIKM and WSDM Conferences