LATEST PROJECTS
PROJECTSVibeSync
VibeSync is a research project which aims to explore the boundary of ML research with music. Inspired by recent advances with contrastive learning and joint language-audio embeddings, we aim to build a proof-of-concept system where a user specifies a playlist title and receives recommended songs. We want to see how far take this and what insights we can gain.

We're excited about your interest in joining us! At Cornell Data Science, we are always looking to expand our team with enthusiastic and talented individuals who are passionate about data science. Recruitment is an essential process for us, aiming to attract students from diverse backgrounds and disciplines who bring fresh perspectives and innovative ideas. We offer a dynamic environment where team members can develop their skills through real-world projects and collaboration with peers and industry professionals. Join us to enhance your understanding of data science, contribute to impactful projects, and grow both personally and professionally.
Take the first step towards an exciting journey in data science!
Opens: Monday, August 18th (morning)
Due: Thursday, September 4th at 11:59 PM
Opens: Monday, September 1st (morning)
Due: Thursday, October 16th at 11:59 PM
Don't miss out on this incredible opportunity!
Date: Tuesday, September 2nd
Time: 5:00 - 6:00 PM
Location: Tang 203
Date: Wednesday, September 24th
Time: 4:30 - 5:30 PM
Location: Philips 219
Date: Monday, October 6th
Time: 5:00 - 6:00 PM
Location: Hollister B14
Date: Saturday, September 27th
Time: 5:00 - 6:00 PM
Location: RPCC or Morrison (TBD)
Date: Thursday, September 4th
Time: 4:00 - 6:00 PM
Location: Duff
Date: Saturday, September 13th
Time: Noon (More details TBA)
Location: TBA
Cornell Data Science holds regular information sessions designed to provide prospective members with a comprehensive overview of our team and its activities. These sessions are an invaluable resource to understand how CDS operates and what it means to be a part of our community.
We host informal coffee chats that offer a casual environment for students to connect with current team members and learn more about our projects and culture. These gatherings are perfect for anyone interested in data science, providing a platform to ask questions, discuss interests, and explore potential fit with the team. Coffee chats are not only a great way to gather insights into the daily workings of CDS but also an opportunity to network and share experiences in a friendly, welcoming setting. Learn more about attending our coffee chats here.
Our interview process is designed to assess a wide range of skills and is specific to each subteam, ensuring a tailored evaluation for all candidates. Typically, interviews consist of three distinct parts: a behavioral segment, a technical assessment, and a system-design/take-home challenge. The behavioral portion evaluates how well candidates align with the team's culture and values, focusing on communication skills and problem-solving approaches. This part of the interview also critically assesses cultural fit within the specific subteam to ensure that candidates can thrive in our collaborative environment. The technical segment tests specific skills relevant to the subteam, such as data analysis or machine learning topics. The system-design/take-home challenge allows candidates to demonstrate their ability to handle real-world problems and think critically about solutions.
Following the interview process, final offers are extended to candidates who have demonstrated exceptional fit both technically and culturally within their respective subteams. Candidates receiving offers will be notified promptly, allowing them to join and immediately engage with their subteam's activities, as well as a comprehensive onboarding process. We encourage all candidates to accept their offers promptly to secure their position at their earliest convenience.