Vimeo has billions of videos on its platform and millions of people performing searches on that content every month. The Search and Recommendations team surfaces the most relevant content to users, from their own assets to millions of public videos. Powering the very best search experience requires thoughtfulness about the user experience, a lot of data, and cutting edge software engineering. As a member of the team you’ll work on leveraging data to improve the relevance of the results we return, improving the performance of our systems, and ensuring the resiliency of our services.

What you’ll do:

• Write clean, portable, and well-documented code
• Work with various technologies (Go, PHP, Python, Java) to ensure our APIs are fast and feature rich.
• Gain experience using docker, kubernetes, and Google Cloud technologies for deployments
• Iterate on your implementations and designs in a data driven environment
• Gain domain knowledge related to Search by working with experienced search relevance engineers.
• Grow technically by learning from talented full stack engineers

Skills and experience you should possess:

• Some familiarity, interest, and experience with Search
• You have an understanding of Web services and REST APIs
• You are problem-solver who is interested in scale, efficiency, and performance optimization
• You dream big with solutions but also have a strong practical streak in evaluating whether they can and should be implemented
• You’re driven towards projects that have an impact on user experience

Bonus points:

• You are familiar with PHP, Python, Go, or Java
• You have strong opinions about how Vimeo search can be improved and are interested in search as a problem
• You have public code viewable on Github, Bitbucket, etc.

While we offer competitive compensation, we don't provide accommodation. Please ensure you are interested in an internship in New York City under these circumstances before applying.