Applied Researcher

Requirements

• MS/PhD in Computer Science or related area with 3+ years of relevant work experience (or BS/BA with 5+ years) in Engineering / Machine Learning / AI
• Extensive development experience, preferably in a ML/AI technology environment (Python, PyTorch, etc.)
• Experience with using cloud services, big data pipelines and databases
• Experience in Natural Language Processing (NLP) and industrial recommender systems
• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)
• Previous publications experience with academic papers, patents/IP, or technical blogs is a plus

What You'll Be Doing

• Develop agentic workflows, evaluations, and models for a variety of surfaces at eBay
• Work with a team of applied researchers and engineers with deep expertise in natural language processing, large language models / AI / agentic workflows, recommender systems, and ML production engineering
• Influence how people will interact with recommender systems in the future, and how recommender systems technology will evolve
• Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users
• Develop and deploy state of the art AI models
• Deploy big data technology and large scale data pipelines
• Drive marketplace GMB through iterative A/B testing

Nice to Haves

• Previous publications experience with academic papers, patents/IP, or technical blogs is a plus

Perks and Benefits

• Equal opportunity employer
• Comprehensive benefits package
• Opportunity to work on cutting-edge AI technologies
• Collaborative and inclusive work environment