Sr Applied Scientist, Recommendations

Requirements

• MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in ML / AI / Data Engineering
• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)
• Experience in AI applied research, preferably in Natural Language Processing (NLP), deep learning, and industrial recommender systems
• Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required
• Experience with using cloud services, big data pipelines and databases

What You'll Be Doing

• Build data pipelines needed to support user input, recall and ranking, model training and inference, working with architects and other engineering peers
• Track the fast-paced world of AI and apply innovative techniques to unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users
• Develop and deploy innovative models in the context of recommender systems
• Deploy big data technology and large scale data pipelines to create magical AI applications and user experiences
• Have a real impact on how shoppers interact with one of the world's largest e-commerce marketplaces to find what they love every day
• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

Perks and Benefits

• Benefits are an essential part of your total compensation for the work you do every day
• eBay offers a variety of comprehensive and competitive benefit programs to meet your needs
• Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead
• eBay loves creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies
• eBay is committed to diversity and inclusion, ensuring all employees feel safe, included, and able to bring their unique selves to work
• eBay is an equal opportunity employer, offering accommodation for those with special needs