eBay’s 2024 University Machine Learning Competition

eBay is hosting its annual University Machine Learning Competition, challenging U.S. college and university students to solve a unique problem using machine learning. This year, participants will focus on eBay Motors, specifically building a model to identify vehicle compatibility with parts and accessories.

Competition Details:

• Challenge: Develop a model to determine vehicle compatibility with specific parts and accessories.
• Dataset: Fitment data extracted from eBay Parts and Accessories categories.
• Goal: Accurately identify compatibility amidst noisy and extraneous listing data.

Benefits:

• Prize: Top participants may earn a 2025 summer internship at eBay.
• Experience: Gain hands-on experience in solving real-world ecommerce challenges.
• Recruitment: Opportunity for promising participants to secure full-time roles at eBay.

Previous Year's Success:

• 2023 Competition: 1,439 students from 206 universities formed 887 teams to compete.
• Impact: Several past winners have transitioned to permanent positions at eBay.

How to Enter:

• Visit the official competition announcement page for more details and registration information.

Don't miss out on this exciting opportunity to showcase your machine learning skills and potentially kickstart your career at eBay!