Senior Applied Researcher

Requirements

• MS/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 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.) and high volume traffic webapp development in an industrial setting
• Previous publications experience with academic papers, patents/IP, or technical blogs is a plus

What You'll Be Doing

• Develop agentic workflows on 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

• AI model deployment experience
• Experience with big data technology and pipelines
• Prior experience in A/B testing for marketplace growth

Perks and Benefits

• eBay is an equal opportunity employer with a commitment to diversity and inclusion
• Opportunity to work on cutting-edge ML, NLP, LLM, and AI techniques
• Collaborate with global teams and leaders in the Search & Recommendations organization
• Access to unique and large data sets for personalized e-commerce shopping experiences
• Potential for career growth and development in a purpose-driven community