Sr. Applied Researcher — AI/ML
Core
Design and advance machine learning and generative AI research agendas, translating findings into production systems for seller pricing and listing decisions.
Role type
Senior Applied Researcher (AI/ML)
Builds
Price guidance models, LLM-based selling agent components, and evaluation frameworks for generative AI systems.
Domain
E-commerce marketplace economics and Generative AI
Deliverable
production ML models
Required skills
causal inference, gradient boosting, advanced prompt engineering, LLM system deployment, LLM evaluation frameworks, agentic system patterns, Python, data engineering
Preferred skills
survival analysis, knowledge distillation, synthetic data generation, marketplace economics (via careerplan.io/jobs/R0077009-sr-applied-researcher-aiml-at-ebay)
Technologies
LightGBM, XGBoost, CatBoost, LangChain, polars, pandas, pyarrow, scipy, statsmodels
Responsibilities
Design price guidance systems separating confounded correlations from true elasticity; build LLM-based selling agent components; develop evaluation frameworks for generative AI; apply knowledge distillation for cost-efficient models; research feedback loop dynamics between AI recommendations and marketplace outcomes.
Seniority
Senior, hands-on IC
