Drive cutting-edge AI solutions as an Applied Scientist in eBay’s Recommendations team. Focus on developing scalable, state-of-the-art machine learning models for personalized shopping experiences. As an Applied Scientist, you will leverage your expertise in machine learning and data engineering to refine eBay's recommendation systems across various platforms.

You will work with large datasets, applying advanced AI techniques to enhance buyer experiences. Your contribution will have a direct impact on connecting users to the products they love in real time. Key Responsibilities:
Build data pipelines for user input and model training
Apply ML techniques on unstructured multimodal datasets
Develop and deploy recommender system models




Implement big data technologies for AI applications
Impact shopper interactions and marketplace revenue

Requirements:
MS in Computer Science or 3 years in ML/AI
Experience in production engineering with OO languages
Knowledge in NLP and industrial recommender systems
Big data processing experience required (e.g., Hadoop)
Familiarity with cloud services and data pipelines

Utilize your skills to innovate and enhance eBay’s shopper experiences through advanced recommendations.

📌 Applied Scientist For Recommendations At Ebay Toronto
🏢 eBay
📍 Toronto