Drive creative 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 trainingApply ML techniques on unstructured multimodal datasetsDevelop and deploy recommender system modelsImplement big data technologies for AI applicationsImpact shopper interactions and marketplace revenueRequirements:MS in Computer Science or 3 years in ML/AIExperience in production engineering with OO languagesKnowledge in NLP and industrial recommender systemsBig data processing experience required (e.G., Hadoop)Familiarity with cloud services and data pipelinesUtilize your skills to innovate and enhance eBay's shopper experiences through advanced recommendations.#J-18808-Ljbffr

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