Airbnb Machine Learning Engineering Intern PhD 

United States 

17085300

The difference you will make:

As an intern, you’ll be integrated into a team where you’ll drive a project from end-to-end that aligns with your technical interest and goals.

The intern project will revolve around exploring how new advancements in ML and AI can be applied to search relevance and personalization

A typical day:

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:

• 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
• Proactively seek and provide feedback throughout the internship
• Actively participate in and contribute to the Engineering org and broader Airbnb community

Your expertise:

This internship opportunity is forwith at least 1 semester of school remaining after the internship (expected graduation between December 2025 - June 2026).

• Studying Computer Science or a related field
• Knowledge of Computer Science fundamentals including data structures, algorithms, design patterns, etc.
• Proficient in one or more of the following languages and tools: Python, Pytorch, C++, SQL, Spark, Scala
• Publications in top Machine Learning, Computer Vision or NLP conferences are a big plus.
• Professional (full-time) experience as a software engineer/developer or intern is a plus.
• Leadership position, community involvement, and or teaching/mentoring experience is a plus!
• Work authorization for employment in the United States is required (CPT/OPT is accepted) - visa sponsorship is unavailable

How we’ll take care of you:

Our job titles may span more than one career or degree level. This role may also be eligible for benefits and Employee Travel Credits.

USD
Pay Rate Range:$4500 biweekly

Offices: United States